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![](3D"master103_image001.gif")
Priv=
ate and
Trusted Interactions*
Bharat Bhargava, Leszek Lilie=
n, and
Dongyan Xu
Department of Computer Scienc=
es,
CERIAS† and=
CWSA‡
Purdue University
=
in collaboration with Ph.D. s=
tudents
and postdocs in the Raid Lab
Computer Sciences Building, R=
oom CS
145, phone: 765-494-6702
www.cs.purdue.edu/homes/bb=
3;
*
Supported in part by NSF gran=
ts
IIS-0209059, IIS-0242840, ANI-0219110, and Cisco URP grant. More grants are welcomed!
† Center for Education and Research in Information Assurance and Secur=
ity
(Executive Director: Eugene Spafford)
‡ Center for Wireless Systems and Applications (Director: Catherine P.
Rosenberg)
![](3D"master102_image002.gif")
![](3D"master102_image003.gif")
![](3D"master102_image004.gif")
3/23/04
2
Motiv=
ation
nSensitivity
of personal data &nbs=
p; =
[Ackerman et al. ‘99]
n82%
willing to reveal their favorite TV show
nOnly
1% willing to reveal their SSN
nBusiness losses due to privacy violations
nOnline
consumers worry about revealing personal data
nThis
fear held back $15 billion in online revenue in 2001
nFederal Privacy Acts to protect privacy
nE.g.,
Privacy Act of 1974 for federal agencies
nStill
many examples of privacy violations even by federal agencies
<=
/span>
nJetBlue
Airways revealed travellers’ data to federal gov’t
nE.g., Health Insurance Portability and Accountabi=
lity
Act of 1996 (HIPAA)
3/23/04
3
Priv=
acy and
Trust
nPrivacy Problem
nConsider computer-based interactions
<=
/span>
nFrom a simple transaction to a complex
collaboration
nInteractions involve dissemination
of private data
nIt is voluntary, “pseudo-voluntary,” =
or
required by law
nThreats of privacy violations result in lower tru=
st
nLower trust leads to isolation and lack of
collaboration
nTrust must be established
nData – provide quality an integrity
nEnd-to-end communication – sender authentic=
ation, message integrity
nNetwork routing algorithms – deal with mali=
cious
peers, intruders, securi=
ty
attacks
3/23/04
4
Fund=
amental
Contributions
nProvide measures of privacy and trust
=
nEmpower users (peers, nodes) to control privacy i=
n ad hoc environments
nPrivacy of user identification
=
nPrivacy of user movement
nProvide privacy in data dissemination
=
nCollaboration
nData warehousing
nLocation-based services
nTradeoff between privacy and trust
nMinimal
privacy disclosures
nDisclose private data absolutely necessary to gai=
n a
level of trust requ=
ired by
the partner system
n
3/23/04
5
Proposals and Publications
nSubmitted NSF proposals
n“Private and Trusted Interactions,” b=
y B.
Bhargava (PI) and L. Lilien (co-PI), March 2004.
n=
“Quality Healthcare Through Pervasive Data
Access,” by D. Xu (PI), B. Bhargava, C.-K.K. Chang, <=
span
style=3D'position:absolute;top:29.75%;left:12.54%;width:84.64%;height:3.2=
5%'>N. Li, C. Nita-Rotaru (co-PIs), March 2004.
<=
/span>
nSelected publications
n“On Se=
curity
Study of Two Distance Vector Routing Protocols for Mobile Ad Hoc Networks=
,” by W. Wang,
Y. Lu and B. Bhargava, Proc. of IEEE Intl. Conf. on Pervasive Computing a=
nd Communications (PerCom 2003), Dallas-Fort Worth, =
TX,
March 2003. http://w=
ww.cs.purdue.edu/homes/wangwc/PerCom03wangwc.pdf
n“Fraud
Formalization and Detection,” =
by B.
Bhargava, Y. Zhong and Y. Lu, Proc. of 5th Intl. Conf. on Data Warehousing and Knowledge Discovery (DaWaK
2003), Prague, Czech Republic, September
2003. http://www.cs.purdue.edu/ho=
mes/zhong/papers/fraud.pdf
n“Trust,
Privacy, and Security. Summary of a Workshop Breakout Session at the Nati=
onal
Science Foundation Infor=
mation
and Data Management (IDM) Workshop held in Seattle, Washington, September 14 - 16, 2003” by B. Bhargava, C. Farkas, L. Lilien and F. Maked=
on, CERIAS Tec=
h Report 2003-34, CERIAS, Purdue University, Novemb=
er
2003.
n http://www2.cs.washington.edu/nsf2003 or&=
#13;
n=
“e-Not=
ebook
Middleware for Accountability and Reputation Based Trust in Distributed D=
ata Sharing Communities,”
by P. Ruth, D. Xu, B. Bhargava and F. Regnier, Proc. of the Second International Conference on Trust Management (iTrust 2004)=
, Oxford,
UK, March 2004. http://www.cs.purdue.edu/ho=
mes/dxu/pubs/iTrust04.pdf
n“Position-Based Receiver-Contention Private
Communication in Wireless Ad Hoc Networks,” by X. Wu and B. Bhargava, submitted to the Tenth Annual=
Intl.
Conf. on Mobile Computing and Networking
(MobiCom’04), Philadelphia, PA, September - October 2004.
3/23/04
6
Outl=
ine
=
1.<=
/span>Assuring privacy in data
dissemination
=
2.Privacy-trust tradeoff
=
3.Privacy metrics
4.Example applications to networks =
and e-commerce
a.Privacy in location-based routing=
and services
in wireless networks
b.Privacy in e-supply chain managem=
ent systems
=
5.Prototype for experimental studie=
s
3/23/04
7
![](3D"slide0023_image005.gif")
1. P=
rivacy
in Data Dissemination
n“Guardian:”&=
#13;
n Entity entrusted by private data owners with
collection, storage, or transfer
of their data
<=
/span>
n=
owner can be a guardian for its own private data&=
#13;
n=
owner can be an institution or a system
nGuardians allowed or required by law to share pri=
vate
data
n=
With owner’s explicit consent
n=
Without the consent as required by law
nresearch, court order, etc.
&#=
8220;Data”
(Private
Data)
Guardian
2
Se=
cond
Level
![](3D"slide0023_image007.jpg")
![](3D"slide0023_image009.jpg")
![](3D"slide0023_image011.jpg")
![](3D"slide0023_image012.gif")
![](3D"slide0023_image013.gif")
![](3D"slide0023_image014.gif")
Guardian 1 &=
#13;
Original Guardian
![](3D"slide0023_image016.jpg")
![](3D"slide0023_image018.jpg")
![](3D"slide0023_image020.jpg")
![](3D"slide0023_image022.jpg")
Guardian 3
Guardian
5
Th=
ird-level
Guardian 6
Guardian 4
![](3D"slide0023_image023.gif")
![](3D"slide0023_image024.gif")
&#=
8220;Owner”
(Private
Data Owner)
![](3D"slide0023_image025.gif")
3/23/04
8
Prob=
lem of
Privacy Preservation
nGuardian
passes private data to another guardian in a data
dissemination chain
nChain within a graph (possibly cyclic)
nOwner privacy
preferences not transmitted due to neglect or failure=
nRisk
grows with chain length and milieu fallibility and
hostility
nIf
preferences lost, receiving guardian unable to honor them
3/23/04
9
Chal=
lenges
nEnsur=
ing
that owner’s metadata are never decoupled from his data
nMetadata
include owner’s privacy preferences
nEfficient
protection in a hostile milieu
nThreats
- examples
nUncontrolled
data dissemination
nIntentional or accidental data corruption, substi=
tution,
or disclosure
<=
/span>
nDetection
of data or metadata loss
nEfficient
data and metadata recovery
nRecovery by retransmission from the original guar=
dian is
most trustworthy=
3/23/04
10
Rela=
ted
Work
nSelf-descriptiveness
nMany papers use the idea of self-descriptiveness =
in diverse contexts (meta data model, KIF, context-a=
ware mobile infrastructure, flexible data types)
<=
/span>
nUse of self-descriptiveness for data privacy
=
nThe idea briefly mentioned in [Rezgui, Bouguettay=
a, and Eltoweissy, 2003]
nSecuring mobile self-descriptive objects
n=
Esp. securing them via apoptosis, that is clean s=
elf-destruction [Tschudin, 1999]
nSpecification of privacy preferences and policies=
nPlatform for Privacy Preferences [Cranor, 2003]&#=
13;
nAT&T Privacy Bird [AT&T, 2004]
n
n
n
3/23/04
11
Prop=
osed
Approach
A.D=
esign
self-descriptive private objects
B.Construct
a mechanism for apoptosis of private objects
apoptosis =3D clean
self-destruction
C.Develop
proximity-based evaporation of private objects
3/23/04
12
A.
Self-descriptive Private Objects
nComprehensive metadata include:
=
nowner’s
privacy preferences
=
nguardian priv=
acy
policies
=
nmetadata acce=
ss
conditions
=
nenforcement
specifications
=
ndata provenan=
ce
=
ncontext-depen=
dent
and
other components
=
=
=
=
n
=
=
=
How to read and write private data
For the original and/or subsequent data guardia=
ns
How to verify and modify metadata
How to enforce preferen=
ces and
policies
Who created, read, modi=
fied,
or destroyed any portion of data
Cust=
omer
trust levels for different contexts
3/23/04
13
Not=
ification
in Self-descriptive Objects
nSelf-descriptive
objects simplify notifying owners or requesting their
permissions
nContact
information available in the data provenance compon=
ent
nNotifications and
requests sent to owners immediately, periodically, or on
demand
nVia pagers, SMSs, email, mail, etc.
3/23/04
14
nTransmitting
complete objects between guardians is inefficient&#=
13;
nThey describe all foreseeable aspects of data <=
span
style=3D'position:absolute;top:44.5%;left:14.04%;width:79.96%;height:6.5%=
'>privacy
nFor any application and environment
nSolution:
prune transmitted metadata
nUse
application and environment semantics along the data dissemina=
tion
chain
Opti=
mization
of Object Transmission
3/23/04
15
B.
Apoptosis of Private Objects
nAssuring privacy in data dissemination
nIn benevolent settings:
n use atomic=
self-descriptive object with retransmission recovery
nIn malevolent settings:
n when attacked object threatened with disclosure, u=
se apoptosis (clean
self-destruction)
nImplementation
nDetectors, triggers, code
nFalse positive
nDealt with by retransmission recovery
=
nLimit repetitions to prevent denial-of-service
attacks
nFalse negatives
3/23/04
16
C. Proximity-based Evaporation
of Private Data=
of Private Data=
nPerfect data
dissemination not always desirable
nExample: Confidential business data shared within
n an office but not outsi=
de
nIdea: Private data evaporate in
proportion to
n their
“distance” from their owner
n“Closer” guardia=
ns
trusted more than “distant” ones
nIllegitimate disclosures more
probable at less trusted “distant” guardians
nDifferent distance metrics&#=
13;
nContext-dependent<=
/span>
3/23/04
17
nExamples of one-dimensional distance metrics
=
;
nDistance ~ business type
n
n
n
n
n
n
n
n
n
n
n
nDistance ~ distrust level: more trusted entities =
are
“closer”
nMulti-dimensional distance metrics
nSecurity/reliability as one of dimensions
Exam=
ples of Metrics
![](3D"slide0074_image026.gif")
Insurance Company
B
5
1
5
5
2
2
1
2
Bank I -Or=
iginal Gu=
ardian
Insurance Company
C
Insurance Company
A
Bank II
Bank III
Used Car Dealer
1
Used Car Dealer
2
Used Car Dealer
3
If a
bank is the original guardian, =
then:
--
any other bank is “closer”
than any insurance company
--
any insurance company is
“closer” than any used
car dealer
3/23/04
18
nDistorted data reveal less, protecting privacy=
3;
nExamples:
n accurate more and more distorted
Evaporation
Implemented as
Controlled Data Distortion
Controlled Data Distortion
250 N. Salisbury Street
West Lafayette, IN
250 N. Salisbury Street
West Lafayette, IN
[home address]
=
<=
/div>
765-123-4567
[home phone]
Salisbury Street
West Lafayette, IN
250 N. University Street
West Lafayette, IN
[office address]
765-987-6543
[office phone]
=
somewhere in
West Lafayette, IN
P.O. Box 1234
West Lafayette, IN
[P.O. box]
<=
/div>
765-987-4321
[office
fax]
![](3D"slide0099_image028.jpg")
![](3D"slide0099_image030.jpg")
![](3D"slide0099_image032.jpg")
![](3D"slide0099_image034.jpg")
![](3D"slide0099_image035.jpg")
![](3D"slide0099_image036.gif")
![](3D"slide0099_image037.gif")
![](3D"slide0099_image038.gif")
![](3D"slide0099_image039.gif")
![](3D"slide0099_image040.gif")
![](3D"slide0099_image041.gif")
![](3D"slide0099_image042.gif")
![](3D"slide0099_image043.gif")
![](3D"slide0099_image044.gif")
![](3D"slide0099_image045.gif")
3/23/04
19
nContext-dependent
apoptosis for implementing evaporation
nApoptosis
detectors, triggers, and code enable context exploitation
=
nConventional
apoptosis as a simple case of data evaporation
nEvaporation follows a step function
nData
self-destructs when proximity metric exceeds predefined thres=
hold
value
Evaporation
as
Apoptosis Generalization
Apoptosis Generalization
3/23/04
20
nEvaporation used f=
or
digital rights management
nObjects self-destruct when c=
opied
onto ”foreign” media or storage device
Application of Evaporation for DRM
3/23/04
21
Outl=
ine
=
1.Assuring privacy in data
dissemination
=
2.<=
/span>Privacy-trust tradeoff
<=
/span>
=
3.Privacy metrics
4.Example applications to networks =
and e-commerce
a.Privacy in location-based routing=
and services
in wireless networks
b.Privacy in e-supply chain managem=
ent systems
=
5.Prototype for experimental studie=
s
3/23/04
22
2.
Privacy-trust Tradeoff
nProblem
nTo build trust in open environments, users provid=
e digital credentials that contain private
information
nHow to gain a certain level of trust with the =
least loss of
privacy?
nChallenges
nPrivacy and trust are fuzzy and multi-faceted concepts
nThe amount of privacy lost by disclosing a piece =
of information is affected by:
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nWho will get this information
<=
/div>
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nPossible uses of this information
nInformation disclosed in the past
3/23/04
23
Rela=
ted
Work
nAutomated trust negotiation (ATN) [Yu, Winslett, =
and Seamons, 2003]
nTradeoff between the length of the negotiation, t=
he amount of information disclosed, and the computat=
ion effort
nTrust-based decision making [Wegella et al. 2003]=
nTrust lifecycle management, with considerations o=
f both trust and risk assessments
nTrading privacy for trust [Seigneur and Jensen, <=
/span>2004]
nPrivacy as the linkability of pieces of evidence =
to a pseudonym; measured by using nymity
[Goldberg, thesis, 2000]
3/23/04
24
Prop=
osed
Approach
A.Formulate
the privacy-trust tradeoff problem
B.Estimate
privacy loss due to disclosing a set of credentials
<=
/span>
C.Estimate
trust gain due to disclosing a set of credentials
D.Develop
algorithms that minimize privacy loss for required trust g=
ain
3/23/04
25
A.
Formulate Tradeoff Problem
nSet
of private attributes that user wants to
conceal
nSet
of credentials
nSubset of revealed credentials R
nSubset of unrevealed credentials U
<=
/span>
nChoose
a subset of credentials NC from U such that:
<=
/span>
nNC
satisfies the requirements for trust building
nPrivacyLoss(NC+R) – PrivacyLoss(R)
is minimized
3/23/04
26
Formu=
late
Tradeoff Problem - cont.1
nIf
multiple private attributes are considered:
nWeight vector {w1, w<=
i>2,
…, wm} for private attributes
nPrivacy loss can be evaluated using:
nThe weighted sum of privacy loss for all attributes=
3;
nThe privacy loss for the attribute with the highest weight
3/23/04
27
B. E=
stimate
Privacy Loss
nQuery-independent
privacy loss
nProvided
credentials reveal the value of a private attribute
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nUser determines her private attributes
nQuery-dependent
privacy loss
nProvided credentials help in answering a specific query
nUser determines a set of potential queries that she
is reluctant to answer
3/23/04
28
Priv=
acy
Loss Example
nPrivate attribute
nage
nPotential queries:
n(Q1)
Is Alice an elementary school student?
n(Q2) Is Alice older than 50 to join a silver insurance
plan?
nCredentials
n(C1)
Driver license
n(C2)
Purdue undergraduate student ID
3/23/04
29
No credentials
C1 implies age ³ 16
Query 1 (elem. school): no
Query 2 (silver plan): not sure
C2 implies undergrad
and suggests
age £ 25 (high probability)
Query 1 (elem. school): no
Query 2 (silver plan):
no (high proba=
bility)
C1 and C2 suggest
16£ age £
25 (high probability)
Query 1 (elem. school): no
Query 2 (silver plan):
no
(high probability)
Disclos=
e C1
(driver license)
Disclose=
C1
Disclos=
e C2
(undergrad ID)
Disclose=
C2
Examp=
le
– cont.
3/23/04
30
nDisclose license (C1) and then unergrad ID (C2)&#=
13;
nPrivacy loss by disclosing license
nlow query-independent loss (wide range for age)&#=
13;
n100% loss for Query 1 (elem. school student)
=
nlow loss for Query 2 (silver plan)
nPrivacy loss by disclosing ID af=
ter
license
nhigh query-independent loss (narrow range for age=
)
nzero loss for Query 1 (because privacy was lost by
disclosing license)
nhigh loss for Query 2 (“not sure” &agrav=
e; “no - high probability”
nDisclose undergrad ID (C2) and then license (C1)&=
#13;
nPrivacy loss by disclosing ID &#=
13;
nlow query-independent loss (wide range for age)&#=
13;
n100% loss for Query 1 (elem. school student)
=
nhigh loss for Query 2 (silver plan)
nPrivacy loss by disclosing license after
ID
nhigh query-independent loss (narrow range of age)=
nzero loss for Query 1 (because privacy was lost by
disclosing ID)
nzero loss for Query 2
Example
- Observations
3/23/04
31
nHigh
query-independent loss does not necessarily imply high
query-dependent loss
ne.g., disclosing ID after license causes=
nhigh query-independent loss
nzero loss for Query 1
nPrivacy
loss is affected by the order of disclosure
ne.g., disclosing ID after license causes differ=
ent privacy
loss than disclosing license after ID
Example
- Summary
3/23/04
32
Priv=
acy
Loss Estimation Methods
nProbability method
nQuery-independent privacy loss
=
nPrivacy loss is measured as the difference between
entropy values
nQuery-dependent privacy loss
nPrivacy loss for a query is measured as difference
between entropy values
nTotal privacy loss is determined by the weighted
average
nConditional probability is needed for entropy
evaluation
nBayes networks and kernel density estimation will=
be
adopted
nLattice method
nEstimate query-independent loss
nEach credential is associated with a tag indicati=
ng its privacy level with respect to an attribute aj
nTag set is organized as a lattice
nPrivacy loss measured as the least upper bound of the privacy
levels for candidate credentials
3/23/04
33
C. E=
stimate
Trust Gain
nIncreasing trust level
<=
/span>
nAdopt research on trust
establishment and management
nBenefit function B(trust_=
level)
nProvided by service provider=
or
derived from user’s utility function
nTrust gain
nB(trust_levelnew) - B(tust_levelprev )
3/23/04
34
D. Minimize Privacy Loss for Required Trust Gain
nCan
measure privacy loss (B)
and can estimate trust gain (C)
nDevelop
algorithms that minimize privacy loss for required trust
gain
nUser releases more private
information
nSystem’s trust in user
increases
nHow much to disclose to achi=
eve a
target trust level?
3/23/04
35
Outl=
ine
=
1.Assuring privacy in data
dissemination
=
2.Privacy-trust tradeoff
=
3.<=
/span>Privacy metrics
<=
/span>
4.Example applications to networks =
and e-commerce
a.Privacy in location-based routing=
and services
in wireless networks
b.Privacy in e-supply chain managem=
ent systems
=
5.Prototype for experimental studie=
s
3/23/04
36
3. P=
rivacy
Metrics
nProblem
nHow to determine that certain degree of data
privacy is provided?
nChallenges
nDifferent privacy-preserving techniques or =
systems
claim different degrees of data privacy
nMetrics are usually ad hoc and customized
nCustomized for a user model
nCustomized for a specific technique/system
nNeed to develop uniform privacy metrics
nTo confidently compare different techniques/syste=
ms
3/23/04
37
Requ=
irements
for Privacy Metrics
nPrivacy metrics should accou=
nt
for:
nDynamics of legitimate users
nHow users interact=
with
the system?
n E.g.,
repeated patterns of accessing the same data can leak
information to a violator
nDynamics of violators
<=
/span>
nHow much informati=
on a
violator gains by watching the system for a period of
time?
nAssociated costs
=
nStorage, injected
traffic, consumed CPU cycles, delay
3/23/04
38
Rela=
ted
Work
nAnonymity set without accounting for probability distribution [Reiter and Rubin, 1999]
=
nAn entropy metric to quantify privacy level, assuming static attacker model [Diaz et al.,
2002]
nDifferential entropy to measure how well an attacker estimates an attribute value [Agrawal an=
d Aggarwal 2001]
3/23/04
39
Prop=
osed
Approach
A.Anonymity
set size metrics
<=
span
style=3D'mso-special-format:"numbullet1\,1";color:#3333CC;mso-color-index=
:7;
position:absolute;left:-7.98%'>B.Entropy-based metrics
=
C.
3/23/04
40
A. An=
onymity
Set Size Metrics
nThe
larger set of indistinguishable entities, the lower probability
of identifying any one of them
nCan use to ”anonymize” a selec=
ted
private attribute value within the domain of its all possible
values
“Hiding in a
crowd”
“More” anonym=
ous
(1/n)
“Less” anonymous (1/4)
3/23/04
41
Anon=
ymity
Set
nAnonymity set A=
3;
A =3D {(s1, =
p<=
i>1),
(s2, p2), …, (s<=
i>n,
pn)}
nsi: subject i who might
access private data
or: i-th possible valu=
e for a
private data attribute
npi: probability that s=
<=
i>i accessed private data
=
or: prob=
ability
that the attribute assumes the i-th possible value
3/23/04
42
Effec=
tive
Anonymity Set Size
nEffective anonymity set size is
=
=
nMaximum value of L is |A| iff all pi’̵=
7;s
are equal to 1/|A|
nL below maximum when distribution is skewed
nskewed when pi’’s have different
values
nDeficiency:
n L does n=
ot
consider violator’s learning behavior
3/23/04
43
B.
Entropy-based Metrics
nEntropy
measures the randomness, or uncertainty, in private data
nWhen
a violator gains more information, entropy decreases
nMetric:
Compare the current entropy value with its maximum value=
3;
nThe difference shows how much information =
has been
leaked
3/23/04
44
Dyna=
mics of
Entropy
nDecrease
of system entropy with attribute disclosures (capturing
dynamics)
n=
When entropy reaches a threshold (b), data evaporation can be invoked to increase
entropy by controlled data distortions
nWhen entropy drops to a very low level (c), apoptosis can
be triggered to dest=
roy
private data
nEntropy increases (d) if the set of attributes gr=
ows or
the disclosed attributes become
less valuable – e.g., obsolete or more data now available
=
(a)
=
(b)
(c)
![](3D"slide0104_image056.gif")
![](3D"slide0104_image057.gif")
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=
(d)
Disclosed attributes
H*
All
attributes
Entropy
Level
3/23/04
45
Quan=
tifying
Privacy Loss
nPriva=
cy loss
D(A,t) at time t=
, when a subset of attribute values A<=
/i> might have been disclosed:
nH<=
i>*(A) &=
#8211;
the maximum entropy
nComputed
when probability distribution of =
p<=
i>i’s is uniform
nH(A,t) is
entropy at time t
=
nwj – weights capturing relative
privacy “value” of attributes
3/23/04
46
Using
Entropy in Data Dissemination
nSpecify
two thresholds for D
nFor triggering evaporation
nFor triggering apoptosis
nWhen private data is
exchanged
nEntropy
is recomputed and compared to the thresholds
nEvaporation or apoptosis may be invoked to enforce
privacy
3/23/04
47
Entropy: Example
nConsider
a private phone number: (a1a2 a3) a4a5 a6 – a7a8a9 a10
nEach
digit is stored as a value of a separate attribute
MHT (IE Only)
MHT (IE Only)
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------=_NextPart_01C4F25E.221D4E10
content-location: file:///C:/2328D235/1B-01-BhargavaC010305_files/script.js
content-transfer-encoding: quoted-printable
content-type: application/javascript;
charset="us-ascii"
function LoadSld()
{
var sld=3DGetObj("SlideObj")
if( !g_supportsPPTHTML ) { =09
sld.style.visibility=3D"visible"
return
}
if( MakeNotesVis() ) return
runAnimations =3D _InitAnimations();
=09
if( IsWin("PPTSld") )
parent.SldUpdated(GetSldId())
g_origSz=3DparseInt(SlideObj.style.fontSize)
g_origH=3Dsld.style.posHeight
g_origW=3Dsld.style.posWidth
g_scaleHyperlinks=3D(document.all.tags("AREA").length>0)
if( g_scaleHyperlinks )
InitHLinkArray()
if( g_scaleInFrame||(IsWin("PPTSld") && parent.IsFullScrMode() ) )
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_RSW()
if( IsWin("PPTSld") && parent.IsFullScrMode() )
FullScrInit();
=09
MakeSldVis();
ChkAutoAdv()
if( runAnimations )
{
if( document.all("NSPlay") )
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if( sld.filters && sld.filters.revealtrans )
setTimeout( "document.body.start()", sld.filters.revealtrans.duration * =
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else
document.body.start();
}
}
function MakeSldVis()=20
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var fTrans=3Dg_showAnimation && SldHasTrans()
if( fTrans )=09
{
if( g_bgSound ) {
idx=3Dg_bgSound.indexOf(",");
pptSound.src=3Dg_bgSound.substr( 0, idx );
pptSound.loop=3D -(parseInt(g_bgSound.substr(idx+1)));
}
SlideObj.filters.revealtrans.Apply()=09
}
SlideObj.style.visibility=3D"visible"
if( fTrans )
SlideObj.filters.revealtrans.Play()
}
function MakeNotesVis()=20
{
if( !IsNts() ) return false=20
SlideObj.style.display=3D"none"
nObj =3D document.all.item("NotesObj")
parent.SetHasNts(0)
if( nObj ) {=20
nObj.style.display=3D""
parent.SetHasNts(1)
}
return 1
}
function ChkAutoAdv()
{
if(SldHasTrans())
SlideObj.onfilterchange=3DAutoAdv
else
AutoAdv()
}
function AutoAdv()
{
if(!IsWin("PPTSld") || !gUseSldTimings )return
var sld=3DGetCurSld()
if( (sld.mAdvDelay>0) && !parent.IsFramesMode() )
setTimeout("parent.GoToNextSld()",sld.mAdvDelay)
}
function GetObj(id)
{
if(g_supportsPPTHTML) return document.all(id);
else return document.getElementById(id);
}
function SldHasTrans() { return SlideObj.style.filter !=3D ""; }
function GetSldId() { return sId=3Dlocation.href.substring(location.href.la=
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function HideMenu() { if( frames["PPTSld"] && PPTSld.document.all.item("ctx=
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function IsWin( name ) { return window.name =3D=3D name }
function IsNts() { return IsWin("PPTNts") }
function IsSldOrNts() { return( IsWin("PPTSld")||IsWin("PPTNts") ) }
function SupportsPPTAnimation() { return( navigator.platform =3D=3D "Win32"=
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function SupportsPPTHTML()
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var appVer=3Dnavigator.appVersion, msie=3DappVer.indexOf("MSIE "), ver=3D0
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ver=3DparseFloat( appVer.substring( msie+5, appVer.indexOf(";",msie) ) )
else
ver=3DparseInt(appVer)
return( ver >=3D 4 && msie >=3D 0 )
}
function _RSW()
{
if( !g_supportsPPTHTML || IsNts() ||
( !g_scaleInFrame && (!IsWin("PPTSld") || !parent.IsFullScrMode()) ) )
return
var padding=3D0;
if( IsWin("PPTSld") && parent.IsFramesMode() ) padding=3D6
cltWidth=3Ddocument.body.clientWidth-padding
cltHeight=3Ddocument.body.clientHeight-padding
factor=3D(1.0*cltWidth)/g_origW
if( cltHeight < g_origH*factor )
factor=3D(1.0*cltHeight)/g_origH
newSize =3D g_origSz * factor
if( newSize < 1 ) newSize=3D1
s=3DSlideObj.style
s.fontSize=3DnewSize+"px"
s.posWidth=3Dg_origW*factor
s.posHeight=3Dg_origH*factor
s.posLeft=3D(cltWidth-s.posWidth+padding)/2
s.posTop=3D(cltHeight-s.posHeight+padding)/2
if( g_scaleHyperlinks )
ScaleHyperlinks( factor )
}
function _InitAnimations()
{
animRuntimeInstalled =3D ''+document.body.localTime !=3D 'undefined';
isFullScreen =3D (window.name =3D=3D "PPTSld") && !parent.IsFramesMode();
g_animUseRuntime =3D g_showAnimation && animRuntimeInstalled && !(isFullSc=
reen && parent.IsSldVisited());
if( g_animUseRuntime ) {
collSeq =3D document.all.tags("seq");
if( collSeq !=3D null ) {
for(ii=3D0;ii numSlds )
gSldJumpIdx =3D numSlds;
if ( gSldJumpIdx >=3D 0 ) {
if ( gSldJumpIdx =3D=3D 0 )
gSldJumpIdx =3D 1;
var jumpTo =3D parseInt(gSldJumpIdx);
gSldJump =3D 0; gSldJumpIdx =3D "";
win.GoToSld( parent.GetSldList().mList[jumpTo-1].mSldHref )
}
}
}
function _KDH()
{
if( event.keyCode =3D=3D 8 ) {
event.returnValue =3D 0;
parent.GoToPrevSld();
}
}
function DocumentOnClick()
{
if( IsNts() || parent.HideMenu() ) return;
if( ( g_allowAdvOnClick && !parent.IsFramesMode() ) ||
(event && (event.keyCode=3D=3D32) ) )
parent.GoToNextSld();
}
var g_supportsPPTHTML =3D SupportsPPTHTML(), g_scaleInFrame =3D 1, gId=3D""=
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g_scaleHyperlinks =3D false, g_allowAdvOnClick =3D 1, g_showInBrowser =
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var g_showAnimation =3D g_supportsPPTHTML && SupportsPPTAnimation() && ( (w=
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r g_animManager =3D null;
var g_animUseRuntime =3D false;
var g_animItemsToHide, g_animInteractiveItems, g_animSlideTime;
var g_animMainSequence =3D null;
var ENDSHOW_MESG=3D"End of slide show, click to exit.", SCREEN_MODE=3D"Fram=
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HREF=3D"fullscreen.htm";
var gCurSld =3D gPrevSld =3D 1, g_offset =3D 0, gNtsOpen =3D gHasNts =3D gO=
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var gMainDoc=3Dnew Array(new hrefList("slide0013.htm",1,-1,1),new hrefList(=
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ew hrefList("slide0066.htm",1,-1,1),new hrefList("slide0067.htm",1,-1,1),ne=
w hrefList("slide0078.htm",1,-1,1),new hrefList("slide0087.htm",1,-1,1),new=
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hrefList("slide0071.htm",1,-1,1),new hrefList("slide0072.htm",1,-1,1),new h=
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fList("slide0077.htm",1,-1,1),new hrefList("slide0092.htm",1,-1,1),new href=
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/*********************************************
Frameset functions
These functions control slide navigation
and state of the frameset.
**********************************************/
function FullScrInit()
{
g_allowAdvOnClick =3D GetCurSld().mAdvOnClk
document.body.style.backgroundColor=3D"black"
document.oncontextmenu=3Dparent._CM;
document.onkeydown =3D _KDH;
document.ondragstart=3DCancel
document.onselectstart=3DCancel
self.focus()
}
function Redirect( frmId )
{=09
var str=3Ddocument.location.hash,idx=3Dstr.indexOf('#'), sId=3DGetSldId()
if(idx>=3D0) str=3Dstr.substr(1);
if( window.name !=3D frmId && ( sId !=3D str) ) {
obj =3D GetObj("Main-File")
window.location.href=3Dobj.href+"#"+sId
return 1
}
return 0
}
var MHTMLPrefix =3D CalculateMHTMLPrefix();=20
function CalculateMHTMLPrefix()
{
if ( document.location.protocol =3D=3D 'mhtml:') {=20
href=3Dnew String(document.location.href)=20
Start=3Dhref.indexOf('!')+1=20
End=3Dhref.lastIndexOf('/')+1=20
if (End < Start)=20
return href.substring(0, Start)=20
else=20
return href.substring(0, End)=20
}
return '';
}
function GetTags(base,tag)
{
if(g_supportsPPTHTML) return base.all.tags(tag);
else return base.getElementsByTagName(tag);
}
function UpdNtsPane(){ if(frames["PPTNts"]) PPTNts.location.replace( MHTMLP=
refix+GetHrefObj( gCurSld ).mNtsHref ) }
function UpdNavPane( sldIndex ){ if(gNavLoaded) PPTNav.UpdNav() }
function UpdOtNavPane(){ if(gOtlNavLoaded) PPTOtlNav.UpdOtlNav() }
function UpdOtlPane(){ if(gOtlLoaded) PPTOtl.UpdOtl() }
function SetHasNts( fVal )
{
if( gHasNts !=3D fVal ) {
gHasNts=3DfVal
UpdNavPane()
}
}
function ToggleOtlText()
{
gOtlTxtExp=3D!gOtlTxtExp
UpdOtlPane()
}
function ClearMedia()
{
// Clear any sounds playing before launching another browser window. Other=
wise,
// in fullscreen mode, you'll continue to hear the sound in the frames mod=
e.
if (PPTSld.pptSound) PPTSld.pptSound.loop =3D 0;
}
function FullScreen()
{=20
if ( PPTSld.g_animUseRuntime )
PPTSld.document.body.pause();
ClearMedia();
var href =3D ( document.location.protocol =3D=3D 'mhtml:') ? FULLSCR_HREF =
: FULLSCR_HREF+"#"+GetHrefObj(gCurSld).mSldHref;
if(PPTNav.event.ctrlKey) {
var w =3D (window.screen.availWidth * 1.0) / 2.0
var h =3D w * (PPTSld.g_origH * 1.0) / PPTSld.g_origW
win =3D window.open( MHTMLPrefix+href,null,"toolbar=3D0,resizable=3D1,top=
=3D0,left=3D0," + "width=3D"+ w + ",height=3D" + h );
if( win.document.body && PPTSld.g_animUseRuntime )
win.document.body.PPTSldFrameset=3Dwindow;
}
else
{
win =3D window.open( MHTMLPrefix+href,null,"fullscreen=3Dyes" );
if( win.document.body && PPTSld.g_animUseRuntime )
win.document.body.PPTSldFrameset=3Dwindow;
}
}
function ToggleVNarration()
{
rObj=3DPPTSld.document.all("NSPlay")
if( rObj && !PPTSld.g_animUseRuntime ) {
if( (rObj.playState =3D=3D 1)||(rObj.playState =3D=3D 0) )
rObj.Play()
else if( rObj.playState =3D=3D 2 )
rObj.Pause()
else
return;
}
else if( PPTSld.g_animUseRuntime )
{
narObj =3D PPTSld.document.all("narrationID")
if( narObj )
narObj.togglePause()
}
}
function GetCurSldNum()
{ =20
obj=3DGetHrefObj(gCurSld)
if( obj.mOrigVis =3D=3D 1 )
return obj.mSldIdx
else =20
return gCurSld
}
function GetNumSlds()
{ =20
if( GetHrefObj(gCurSld).mOrigVis =3D=3D 1 )
return GetSldList().mNumVisSlds;
else
return GetSldList().mList.length
}
function GetSldNum( href )
{
for(ii=3D0; ii 1 )
PopSldList();
else if( !IsFramesMode() ) {
if( gLoopCont )
GoToFirst()
else
EndShow()
}
}
function GoToPrevSld()
{
ii=3DgCurSld-1
if( ii > 0 ) {
obj=3DGetHrefObj(ii)
while ( obj && ( obj.mVis =3D=3D 0 ) && ( ii>0 ) )
obj=3DGetHrefObj(--ii)
if( ii =3D=3D 0 ) ii=3D1
GoToSldNum(ii)
}
}
function GoToFirst(){ GoToSld( GetHrefObj(1).mSldHref ) }
function GoToLast()
{
ii=3DGetSldList().mList.length
if( ii !=3D gCurSld )
GoToSld( GetHrefObj(ii).mSldHref )
}
function GoToSldNum( num )
{
if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue
obj =3D GetHrefObj( num )
obj.mVis=3D1
gPrevSld=3DgCurSld
gCurSld =3D num;
PPTSld.location.replace(MHTMLPrefix+obj.mSldHref)
if( IsFramesMode() ) {
UpdNavPane(); UpdOtlPane(); UpdNtsPane()
}
}
function GoToSld( href )
{
if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue
GetHrefObj( GetSldNum(href) ).mVis=3D1
PPTSld.location.replace(MHTMLPrefix+href)
}
function SldUpdated( id )
{
if( id =3D=3D GetHrefObj(gCurSld).mSldHref ) return
gPrevSld=3DgCurSld
gCurSld=3DGetSldNum(id)
if( IsFramesMode() ) {
UpdNavPane(); UpdOtlPane(); UpdNtsPane()
}
}
function PrevSldViewed(){ GoToSld( GetHrefObj(gPrevSld).mSldHref ) }
function HasPrevSld() { return ( gIsEndShow || ( gCurSld !=3D 1 && GetHrefO=
bj( gCurSld-1 ).mVis =3D=3D 1 )||( GetCurSldNum() > 1 ) ) }
function HasNextSld() { return (GetCurSldNum() !=3D GetNumSlds()) }
function CloseWindow() {
if( HideMenu() ) return;
=09
var event =3D PPTSld.event;
if( !IsFramesMode() && event && (event.keyCode=3D=3D27 || event.keyCode=3D=
=3D32 || event.type=3D=3D"click" ) )
window.close( self );
CatchNumKeys( self, event );
}
function Unload() { gIsEndShow=3D0; }
function SetupEndShow() {
gIsEndShow=3D1;
PPTSld.document.body.scroll=3D"no";
PPTSld.document.onkeypress=3DCloseWindow;
PPTSld.document.onclick=3DCloseWindow;
PPTSld.document.oncontextmenu=3D_CM;
}
function EndShow()
{
if( IsFramesMode() ) return
if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue
doc=3DPPTSld.document
var dir =3D doc.body.dir
if( dir !=3D "rtl" ) dir =3D "ltr";
doc.open()
doc.writeln(' 0) {
PushSldList(sldList,fEnd);
gCurSld =3D 1;
}
else
if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue
}
function PushSldList(arr,fEnd) {
var ii =3D gSldStack.length;
gSldStack[ii] =3D new SldList(arr,gCurSld,fEnd);
GoToSld( gSldStack[ii].mList[0].mSldHref );
}
function PopSldList() {
if (gSldStack[gSldStack.length-1].fEndShow)
EndShow()
else {
gCurSld =3D gSldStack[gSldStack.length-1].mCurSld;
gSldStack[gSldStack.length-1] =3D null;
gSldStack.length--;
var sldList =3D gSldStack[gSldStack.length-1];
GoToSld( sldList.mList[gCurSld - 1].mSldHref );
}
}
var custShowList=3Dnew Array();
/*********************************************
Navigation button implementation
There are 2 types of buttons: ImgBtn, TxtBtn
implemented as function objects. They share
a similiar interface so the event handlers
can call SetActive, for example, on a button=20
object without needing to know exactly=20
what type of button it is.
**********************************************/
//----------------------------------
function ImgBtn( oId,bId,w,action )
//----------------------------------
{
var t=3Dthis
t.Perform =3D _IBP
t.SetActive =3D _IBSetA
t.SetInactive=3D _IBSetI
t.SetPressed =3D _IBSetP
t.SetDisabled=3D _IBSetD
t.Enabled =3D _IBSetE
t.ChangeIcon =3D null
t.UserAction =3D action
t.ChgState =3D _IBUI
t.mObjId =3D oId
t.mBorderId=3D bId
t.mWidth =3D w
t.mIsOn =3D t.mCurState =3D 0
}
function _IBSetA()
{
if( this.mIsOn ) {
obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 )
obj.style.posTop=3D0
}
}
function _IBSetI()
{
if( this.mIsOn ) {
obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 )
obj.style.posTop=3D0=20
}
}
function _IBSetP()
{
if( this.mIsOn ) {
obj=3Dthis.ChgState( gShadowClr,gHiliteClr,2 )
obj.style.posLeft+=3D1; obj.style.posTop+=3D1
}
}
function _IBSetD()
{ =20
obj=3Dthis.ChgState( gFaceClr,gFaceClr,0 )
obj.style.posTop=3D0=20
}
function _IBSetE( state )
{
var t=3Dthis
GetObj( t.mBorderId ).style.visibility=3D"visible"
if( state !=3D t.mIsOn ) {
t.mIsOn=3Dstate
if( state )
t.SetInactive()
else
t.SetDisabled()
}
}
function _IBP()
{
var t=3Dthis
if( t.mIsOn ) {
if( t.UserAction !=3D null )
t.UserAction()
if( t.ChangeIcon ) {
obj=3DGetObj(t.mObjId)
if( t.ChangeIcon() )
obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-4)*t.mWidth
else
obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-0)*t.mWidth
}
t.SetActive()
} =20
}
function _IBUI( clr1,clr2,nextState )
{
var t=3Dthis
SetBorder( GetObj( t.mBorderId ),clr1,clr2 )
obj=3DGetObj( t.mObjId )
obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-nextState)*t.mWidth-obj=
.style.posTop
t.mCurState=3DnextState
return obj
}
//-----------------------------------------
function TxtBtn( oId,oeId,action,chkState )
//-----------------------------------------
{
var t=3Dthis
t.Perform =3D _TBP
t.SetActive =3D _TBSetA
t.SetInactive=3D _TBSetI
t.SetPressed =3D _TBSetP
t.SetDisabled=3D _TBSetD
t.SetEnabled =3D _TBSetE
t.GetState =3D chkState
t.UserAction =3D action
t.ChgState =3D _TBUI
t.mObjId =3D oId
t.m_elementsId=3D oeId
t.mIsOn =3D 1
}
function _TBSetA()
{
var t=3Dthis
if( t.mIsOn && !t.GetState() )
t.ChgState( gHiliteClr,gShadowClr,0,0 )
}
function _TBSetI()
{
var t=3Dthis
if( t.mIsOn && !t.GetState() )
t.ChgState( gFaceClr,gFaceClr,0,0 )
}
function _TBSetP()
{
if( this.mIsOn )
this.ChgState( gShadowClr,gHiliteClr,1,1 )
}
function _TBSetD()
{ =20
this.ChgState( gFaceClr,gFaceClr,0,0 )
this.mIsOn =3D 0
}
function _TBSetE()
{
var t=3Dthis
if( !t.GetState() )
t.ChgState( gFaceClr,gFaceClr,0,0 )
else
t.ChgState( gShadowClr,gHiliteClr,1,1 )
t.mIsOn =3D 1
}
function _TBP()
{
var t=3Dthis
if( t.mIsOn ) {=20
if( t.UserAction !=3D null )
t.UserAction()
if( !t.GetState )
return
if( t.GetState() )
t.SetPressed()
else
t.SetActive()
} =20
}
function _TBUI( clr1,clr2,lOffset,tOffset )
{
SetBorder( GetObj( this.mObjId ),clr1,clr2 )
Offset( GetObj( this.m_elementsId ),lOffset,tOffset )
}
function Offset( obj, top, left ){ obj.style.top=3Dtop; obj.style.left=3Dle=
ft }
function SetBorder( obj, upperLeft, lowerRight )
{
s=3Dobj.style;
s.borderStyle =3D "solid"
s.borderWidth =3D 1=20
s.borderLeftColor =3D s.borderTopColor =3D upperLeft
s.borderBottomColor=3D s.borderRightColor =3D lowerRight
}
function GetBtnObj(){ return gBtnArr[window.event.srcElement.id] }
function BtnOnOver(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetActive() }
function BtnOnDown(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetPressed() }
function BtnOnOut(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetInactive() }
function BtnOnUp()
{
b=3DGetBtnObj()
if( b !=3D null )
b.Perform()
else
Upd()
}
function GetNtsState(){ return parent.gNtsOpen }
function GetOtlState(){ return parent.gOtlOpen }
function GetOtlTxtState(){ return parent.gOtlTxtExp }
function NtsBtnSetFlag( fVal )
{
s=3Ddocument.all.item( this.m_flagId ).style
s.display=3D"none"
if( fVal )
s.display=3D""
else
s.display=3D"none"
}
function _BSetA_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S=
etActive() }
function _BSetI_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S=
etInactive() }
function _BSetP_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S=
etPressed() }
function _BSetA_BorderImg()
{=20
b =3D gBtnArr[this.mBorderId]=20
if( b !=3D null && this.mIsOn && !b.GetState() ) {
obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 )
obj.style.posTop=3D0
}
}
function _BSetI_BorderImg()
{=20
b =3D gBtnArr[this.mBorderId]
if( b !=3D null && this.mIsOn && !b.GetState() ) {
obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 )
obj.style.posTop=3D0
}
}
var gHiliteClr=3D"THREEDHIGHLIGHT",gShadowClr=3D"THREEDSHADOW",gFaceClr=3D"=
THREEDFACE"
var gBtnArr =3D new Array()
gBtnArr["nb_otl"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOtlPan=
e,GetOtlState )
gBtnArr["nb_otlElem"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOt=
lPane,GetOtlState )
gBtnArr["nb_nts"] =3D new ImgBtn( "nb_nts","nb_ntsBorder",10,parent.ToggleN=
tsPane )
gBtnArr["nb_nts"].SetActive =3D _BSetA_BorderImg;
gBtnArr["nb_nts"].SetInactive =3D _BSetI_BorderImg;
gBtnArr["nb_ntsBorder"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.=
ToggleNtsPane,GetNtsState )
gBtnArr["nb_ntsElem"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.To=
ggleNtsPane,GetNtsState )
gBtnArr["nb_prevBorder"] =3D gBtnArr["nb_prev"]=3D new ImgBtn( "nb_prev","n=
b_prevBorder",30,parent.GoToPrevSld )
gBtnArr["nb_nextBorder"] =3D gBtnArr["nb_next"]=3D new ImgBtn( "nb_next","n=
b_nextBorder",30,parent.GoToNextSld )
gBtnArr["nb_sldshw"]=3D new ImgBtn( "nb_sldshw","nb_sldshwBorder",18,parent=
.FullScreen )
gBtnArr["nb_sldshwBorder"] =3D new TxtBtn( "nb_sldshw","nb_sldshwBorder",pa=
rent.FullScreen,null )
gBtnArr["nb_sldshwBorder"].SetActive =3D _BSetA_Border;
gBtnArr["nb_sldshwBorder"].SetInactive =3D _BSetI_Border;
gBtnArr["nb_sldshwText"] =3D new TxtBtn( "nb_sldshw","nb_sldshwText",parent=
.FullScreen,null )
gBtnArr["nb_sldshwText"].SetActive =3D _BSetA_Border;
gBtnArr["nb_sldshwText"].SetInactive =3D _BSetI_Border;
gBtnArr["nb_voice"] =3D gBtnArr["nb_voiceBorder"] =3D new ImgBtn( "nb_voice=
","nb_voiceBorder",18,parent.ToggleVNarration )
gBtnArr["nb_otlTxtBorder"] =3D gBtnArr["nb_otlTxt"]=3D new ImgBtn( "nb_otlT=
xt","nb_otlTxtBorder",23,parent.ToggleOtlText )
gBtnArr["nb_ntsBorder"].m_flagId=3D "nb_nts"
gBtnArr["nb_ntsBorder"].SetFlag =3D NtsBtnSetFlag
gBtnArr["nb_otlTxt"].ChangeIcon=3D GetOtlTxtState
/*********************************************
Context menu implementation
_CM() is the function that's hooked up to
the oncontextmenu event. Once we're asked to
show the menu, we first build it by creating
DIVs on-the-fly. Then we position it=20
within the screen area so it doesn't get
clipped.
Creating the DIVs using createElement() means
we don't have to write out any extra HTML
into the slide HTML files.
**********************************************/
var sNext=3D"Next",sPrev=3D"Previous",sEnd=3D"End Show",sFont=3D"Arial",sAr=
row=3D"Arrow",sFreeform=3D"Freeform",sRect=3D"Rectangle",sOval=3D"Oval"
function ShowMenu()
{
BuildMenu();
var doc=3DPPTSld.document.body,x=3DPPTSld.event.clientX+doc.scrollLeft,y=
=3DPPTSld.event.clientY+doc.scrollTop
m =3D PPTSld.document.all.item("ctxtmenu")
m.style.pixelLeft=3Dx
if( (x+m.scrollWidth > doc.clientWidth)&&(x-m.scrollWidth > 0) )
m.style.pixelLeft=3Dx-m.scrollWidth
m.style.pixelTop=3Dy
if( (y+m.scrollHeight > doc.clientHeight)&&(y-m.scrollHeight > 0) )
m.style.pixelTop=3Dy-m.scrollHeight
m.style.display=3D""
}
function _CM()
{
if( !parent.IsFullScrMode() ) return;
if(!PPTSld.event.ctrlKey) {
ShowMenu()
return false
} else
HideMenu()
}
function BuildMenu()
{
if( PPTSld.document.all.item("ctxtmenu") ) return
var mObj=3DCreateItem( PPTSld.document.body )
mObj.id=3D"ctxtmenu"
mObj.style.visibility=3D"hidden"
var s=3DmObj.style
s.position=3D"absolute"
s.cursor=3D"default"
s.width=3D"120px"
SetCMBorder(mObj,"menu","black")
var iObj=3DCreateItem( mObj )
SetCMBorder( iObj, "threedhighlight","threedshadow" )
iObj.style.padding=3D2
CreateMenuItem( iObj,sNext,M_GoNextSld,M_True )
CreateMenuItem( iObj,sPrev,M_GoPrevSld,M_HasPrevSld )
=09
CreateSeparator( iObj )
CreateMenuItem( iObj,sEnd,M_End,M_True )
mObj.style.visibility=3D"visible"
}
function Cancel() { window.event.cancelBubble=3Dtrue; window.event.returnVa=
lue=3Dfalse }
function Highlight() { ChangeClr("activecaption","threedhighlight") }
function Deselect() { ChangeClr("threedface","menutext") }
function Perform()
{
e=3DPPTSld.event.srcElement
if( e.type=3D=3D"menuitem" && e.IsActive() )
e.Action()
else
PPTSld.event.cancelBubble=3Dtrue
}
function ChangeClr( bg,clr )
{
e=3DPPTSld.event.srcElement
if( e.type=3D=3D"menuitem" && e.IsActive() ) {
e.style.backgroundColor=3Dbg
e.style.color=3Dclr
}
}
function M_HasPrevSld() { return( parent.HasPrevSld() ) }
function M_GoNextSld() { if( gIsEndShow ) M_End(); else GoToNextSld() }
function M_GoPrevSld() { if( gIsEndShow ) { gIsEndShow=3D0; history.back();=
PPTSld.event.cancelBubble=3Dtrue; } else GoToPrevSld() }
function M_True() { return true }
function M_End() { window.close( self ) }
function CreateMenuItem( node,text,action,eval )
{
var e=3DCreateItem( node )
e.type=3D"menuitem"
e.Action=3Daction
e.IsActive=3Deval
e.innerHTML=3Dtext
if( !e.IsActive() )
e.style.color=3D"threedshadow"
e.onclick=3DPerform
e.onmouseover=3DHighlight
e.onmouseout=3DDeselect
s=3De.style;
s.fontFamily=3DsFont
s.fontSize=3D"9pt"
s.paddingLeft=3D2
}
function CreateSeparator( node )
{
var sObj=3DCreateItem( node )
SetCMBorder(sObj,"menu","menu")
var s=3DsObj.style
s.borderTopColor=3D"threedshadow"
s.borderBottomColor=3D"threedhighlight"
s.height=3D1
s.fontSize=3D"0px"
}
function CreateItem( node )
{
var elem=3DPPTSld.document.createElement("DIV")
node.insertBefore( elem )
return elem
}
function SetCMBorder( o,ltClr,rbClr )
{
var s=3Do.style
s.backgroundColor=3D"menu"
s.borderStyle=3D"solid"
s.borderWidth=3D1
s.borderColor=3DltClr+" "+rbClr+" "+rbClr+" "+ltClr
}
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MHT (IE Only)
MHT (IE Only)
nAssume:
nRange
of values for each attribute is [0—9]
nAll
attributes are equally important, i.e., w<=
i>j =
=3D 1
nThe
maximum entropy – when violator has no information about the value of each attribute:
<=
o:OLEObject
Type=3D"Embed" ProgID=3D"Equation.3" ShapeID=3D"_x0000_s292868" DrawAspe=
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nViolator assigns a uniform probability distribution to values of each attribute
ne.g.,
a=
1=3D
i with probability of 0.10 for each i in [0—9]
3/23/04
48
Entropy: Example – cont.
=
![](3D"slide0108_image065.gif")
<=
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nSuppose
that after time t, violator can figure out the state of the phone number, which may allow him to learn the th=
ree
leftmost digits
nEntropy
at time t is given by:
nAttributes a1, a=
2, a3 contribute 0 to the entropy value
because violator know=
s their
correct values
nInformation
loss at time t is:
3/23/04
49
Outl=
ine
=
1.Assuring privacy in data dissemination=
3;
=
2.Privacy-trust tradeoff
=
3.Privacy metrics
4.<=
/span>Example applications to networks=
and e-commerce
a.<=
/span>Privacy in location-based routin=
g and services in wireless networks=
3;
b.Privacy in e-supply chain managem=
ent systems
=
5.Prototype for experimental studie=
s
3/23/04
50
4a. Application: Privacy in LBR=
S for Wireless Networks
nProblem
nUsers need and want LBRS
n=
LBRS users do not want their stationary or mobile=
locations
widely known
nUsers do not want their movement patterns widely=
known
nChallenge
nDesign mechanisms that preserve location and move=
ment privacy while using LBRS
3/23/04
51
Rela=
ted
Work
nRange-free localization scheme using Point-in-Triangulation [He et
al., MobiCom’03]
nGeographic routing without exact location [Rao et al., MobiCom’03]
nLocalization from connectivity [Shang et al.,
MobiHoc 03]
<=
/span>
nAnonymity during routing in ad hoc networks [Kong=
et al.,
MobiHoc’03]
nLocation uncertainty in mobile networks [Wolfson =
et al., Distributed and Parallel Databases’99]
=
;
nQuerying imprecise data in mobile environments [Cheng et=
al., TKDE’04]
3/23/04
52
Prop=
osed
Approach: Basic Idea
nLocation server distorts actual positions
nProvide approximate position (stale or grid)
=
nAccuracy of provided information is a function of=
the trust level
that location server =
assigns
to the requesting node
nSend to forwarding proxy (FP) at approximate
position
n Then apply restricted broadcast by FP to transmit =
the
packet to its final dest=
ination
3/23/04
53
Trus=
t and
Data Distortion
nTrust negotiation between source and location ser=
ver
nAutomatic decision making to achieve tradeoff bet=
ween
privacy loss and n=
etwork
performance
nDynamic mappings between trust level and distorti=
on
level
nHiding destination in an anonymity set to avoid b=
eing
traced
n
3/23/04
54
Trust
Degradation and Recovery
nIdentification
and isolation of privacy violators
nDynamic
trust updated according to interaction histories and peer
recommendations
nFast
degradation of trust and its slow recovery
nThis defends against smart violators
3/23/04
55
Cont=
ributions
nMore secure and scalable routing <=
span
style=3D'position:absolute;top:28.74%;left:9.73%;width:84.45%;height:7.5%=
'>protocol
nAdvances in QoS control for wireless networks
nImproved mechanisms for privacy measurement and information distortion
nAdvances in priv=
acy
violation detection and v=
iolator
identification
3/23/04
56
Outli=
ne
=
1.Assuring privacy in data
dissemination
=
2.Privacy-trust tradeoff
=
3.Privacy metrics
4.<=
/span>Example applications to networks=
and e-commerce
a.Privacy in location-based routing=
and services
in wireless networks
b.<=
/span>Privacy in e-supply chain manage=
ment systems
=
5.Prototype for experimental studie=
s
3/23/04
57
4b. Application: Privacy in e-S=
upply Chain Management Systems
nProblem
n=
Inadequacies in privacy protection for e-supply c=
hain management system (e-SCMS) hamper their development
nChallenges
nDesign privacy-related components for privacy-pre=
serving
e-SCMS
nWhen and with whom to share private data?
nHow to control their disclosures?
nHow to accommodate and enforce privacy policies a=
nd preferences?
nHow to evaluate and compare alternative preferenc=
es and policies?
3/23/04
58
Related Work
nCoexistence and compatibility of e-privacy and
e-commerce [Frosch-Wilke, 20=
01;
Sandberg, 2002]
nContext: electronic customer relationship managem=
ent
(e-CRM)
ne-CRM includes e-SCMS
nPrivacy as a major concern in online e-CRM system=
s for providing personalization and recommendation serv=
ices [Ramakrishnan, 2001]
nPrivacy-preserving personalization techniques [Is=
hitani et al=
., 2003]
nPrivacy preserving collaborative filtering systems
[Mender project,
http://www.cs.berkeley.edu/~jfc/'mender/]
nPrivacy-preserving data mining systems [Privacy, Obligations,
and Rights in Technologies of Information Assessment http://theory.stanford.edu/~rajeev/privacy.html]
3/23/04
59
nIntelligent data sharing
nImplementatio=
n of
privacy preferences and policies at data
warehouses
=
nEvaluation of
credentials and requester trustworthiness
=
nEvaluation of=
cost
benefits of privacy loss vs. trust gain
=
nControlling
misuse
nAutomatic enforcement via private objects
=
nDistortion /
summarization
=
nApoptosis
=
;
=
nEvaporation
Proposed
Approach
3/23/04
60
<=
span
style=3D'font-family:Tahoma;font-size:156%'>nEnforcing and integrating pri=
vacy
components
nUsing privacy metrics for policy evaluation before=
its implementation
nIntegration of privacy-preservation components wit=
h e-SCMS software
nModeling and
simulation of privacy-related components for e-SCMS
=
=
nPrototyping privacy-related components for e-SCMS&=
#13;
nEvaluating the effectiveness, efficiency and usabi=
lity
of the
privacy mechanisms on PRETTY prototype
=
nDevising a privacy framework for e-SCMS applicatio=
ns
Proposed Approach –
cont.
3/23/04
61
Outl=
ine
=
1.Assuring privacy in data
dissemination
=
2.Privacy-trust tradeoff
=
3.Privacy metrics
4.Example applications to networks =
and e-commerce
a.Privacy in location-based routing=
and services
in wireless networks
b.Privacy in e-supply chain managem=
ent systems
=
5.<=
/span>Prototype for experimental studi=
es
3/23/04
62
5. PRETTY Prototype
for Experimental Studies
for Experimental Studies
(1)
[2a]
(3) [2b] [2d]
[2c1]
[2c2]
(2)
(4)
TERA =3D Trust-Enhanced Role Assignment
(&=
lt;nr>) – unconditional path=
3;
[<nr>]– conditional path
3/23/04
63
Info=
rmation
Flow for PRETTY
1)User
application sends query to server application.
2)Server
application sends user information to TERA server for trust evaluation and role assignment.
a)If
a higher trust level is required for query, TERA server sends the request=
for
more user’s
credentials to privacy negotiator.
b)Based
on server’s privacy policies and the credential requirements, priva=
cy
negotiator interacts with
user’s privacy negotiator to build a higher level of trust.
c)Trust
gain and privacy loss evaluator selects credentials that will increase tr=
ust
to the required level w=
ith the
least privacy loss. Calculation considers credential requirements and credentials disclosed in previous
interactions.
d)According
to privacy policies and calculated privacy loss, user’s privacy
negotiator decides whether =
or not
to supply credentials to the server.
3)Once
trust level meets the minimum requirements, appropriate roles are =
assigned to user for execution of his query.
=
4)Based
on query results, user’s trust level and privacy polices, data
disseminator dete=
rmines:
(i) whether to distort data and if so to what degree, and (ii) what privacy enforcement metadata should be associated=
with
it.
3/23/04
64
Exam=
ple
Experimental Studies
nPrivate object implementation
<=
/div>
n=
Validate and evaluate the cost, efficiency, and t=
he
impacts on the diss=
emination
of objects
nStudy the apoptosis and evaporation mechanisms for
private objects
nTradeoff between privacy and trust
nStudy the effectiveness and efficiency of the
probability-based and latt=
ice-based
privacy loss evaluation methods
nAssess the usability of the evaluator of trust ga=
in and
privacy loss
nLocation-based routing and services
nEvaluate the dynamic mappings between trust level=
s and
distortion levels
3/23/04
65
Private
and Trusted Interactions - Summary
1.Assuring
privacy in data dissemination
2.Privacy-trust
tradeoff
3.Privacy
metrics
4.Example
applications to networks and e-commerce
a.Privacy
in location-based routing and services in wireless networks
=
b.Privacy
in e-supply chain management systems
5.Prototype
for experimental studies
3/23/04
66
Bird=
’s
Eye View of Research
nResearch integrates ideas from:
nCooperative information systems
nCollaborations
nPrivacy, trust, and information theory
nGeneral privacy solutions provided
nExample applications studied:
<=
/div>
nLocation-based routing and services for wireless =
networks
nElectronic supply chain management systems
nApplicability to:
nAd hoc networks, peer-to-peer systems
nDiverse computer systems
nThe Semantic Web
3/23/04
67
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