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Secure Knowledge Management
Dr. Bhavani Thuraisingham
The National Science Foundation
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September  2= 004
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Outline
0Background on Knowledge Management
0Aspects of Secure Knowledge Management
0Secure Knowledge Management Technologies
-E.g., Secure Semantic Web
0Secure Knowledge Management Strategies, Processes and Metrics
0Note on Privacy
0Directions
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What is Knowled= ge Management?
0Knowledge management, or KM, is the process throu= gh which organizations gen= erate value from their intellectual property and knowledge-based assets
0KM involves the creation, dissemination, and util= ization of knowledge
0Reference: http://www.commerce-database.com/knowl= edge-management.htm?source=3Dgoogle
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Aspects of Know= ledge Management
Components: <= /span>
Strategies <= /span>
Processes <= /span>
Metrics =
Cycle: =
Knowledge, Creation
Sharing, Measurement
And Improvement
Technologies: <= /span>
Expert systems <= /span>
Collaboration <= /span>
Training <= /span>
Semantic Web <= /span>
Components of <= /span>
Knowledge <= /span>
Management: <= /span>
Components, <= /span>
Cycle and <= /span>
Technologies <= /span>
None of these things were endorsed by military acquisitions, but all have gradua= lly started happening out of necessity and user requirements.
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Knowledge Model= s
0Level 1: Highest Level
-Mental models utilized by psychologists
-Social models (e.g. social network models) used by sociologists =
0Level 2: Mid-level
-Models utilized by expert systems
-Process modeling
0Level: Bottom level
-Models understood by machines
-E.g., rule-based, frame-based, etc.
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Identification
Creation
Diffusion -
Tacit, Explicit
Integration
Modification
Action
Organizational Learning Process
Metrics
Source:
Reinhardt and Pawlowsky
3D"Text
Incentives=
also see: Tools in Organizational Learning
h= ttp://duplox.wz-berlin.de/oldb/forslin.html
 
Overall focus is on learning actionable knowledge
Organizations successful at KM Generate and Generalize knowledge
Generate - Create new knowledge and Identify knowledge that exists inside and out= side the organization
Generalize - Transfer Knowledge from person to person, group to group, organization= to organization
Diffusion - tacit/explicit - Tacit - Dialogue, Explicit - someone creates an exter= nal representation of their understanding (Word, e-mail, PowerPoint)<= br>
Integration - Knowledge transfer only matters to the receiver. Person knowledge is transferred to must be open to new ideas, able to challenge assumptions = to integrate into their mental model.
Modification - Knowledge is never received “pure”, typically the receiver takes out the pieces that work for him/her.
Action - Important experiential knowledge is built through action. Wouldn’t expect someone to be able to <choose example> by reading a book or paper. Need tacit knowledge built up in action.
Need metrics to determine success in each area and to provide incentive. Not measured it won’t get done.
Focus of this MSR is on metrics and incentives for the diffusion process.<= br>
Examine available tools and develop tools for each area. (I.e. Expert Finder (identification), CVW - diffusion, Invention Machine (integration), Powe= rSim (Action)

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<= /div>
 
= = Knowledge Management: Stra= tegies,
Process= es, Metrics and Tools
Knowledge Management: Within and Across
Corporations and Agencies
Strategies
e.g., Management &#= 13;
Plans, Policies,= 3;
Data sharing vs. Pr= ivacy
Processes
e.g., Best
practices
Metrics =
e.g., web usage, &#= 13;
number of papers= 3;
published
Tools e.g., Semantic Web
Data Mining
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<= /div>
 
Knowledge Manag= ement Architecture
Knowledge Creation and Acquisition = Manager
Knowledge Representation =
Manager
Knowledge Manipulation
Manager
Knowledge Dissemination and Sharing
Manager
None of these things were endorsed by military acquisitions, but all have gradua= lly started happening out of necessity and user requirements.
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<= /div>
 
Secure Knowledge Management
0Security = for Organizational Learning
0Secure Kn= owledge Management Architecture
0Protectin= g the intellectual property of an organization
0Integrati= ng security policies across organizations
0Security for knowledge management: strategies, processes and metrics <= /div>
0Trust Man= agement and Negotiation
0Secure kn= owledge management technologies
0
0=
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Identification
Creation
Diffusion -
Tacit, Explicit
Integration
Modification
Action
Secure Organizational Learning Process
Metrics
Source:
Reinhardt and Pawlowsky
3D"Text
Incentives=
also see: Tools in Organizational Learning
h= ttp://duplox.wz-berlin.de/oldb/forslin.html
 
 Security Cuts Across All As= pects
Overall focus is on learning actionable knowledge
Organizations successful at KM Generate and Generalize knowledge
Generate - Create new knowledge and Identify knowledge that exists inside and out= side the organization
Generalize - Transfer Knowledge from person to person, group to group, organization= to organization
Diffusion - tacit/explicit - Tacit - Dialogue, Explicit - someone creates an exter= nal representation of their understanding (Word, e-mail, PowerPoint)<= br>
Integration - Knowledge transfer only matters to the receiver. Person knowledge is transferred to must be open to new ideas, able to challenge assumptions = to integrate into their mental model.
Modification - Knowledge is never received “pure”, typically the receiver takes out the pieces that work for him/her.
Action - Important experiential knowledge is built through action. Wouldn’t expect someone to be able to <choose example> by reading a book or paper. Need tacit knowledge built up in action.
Need metrics to determine success in each area and to provide incentive. Not measured it won’t get done.
Focus of this MSR is on metrics and incentives for the diffusion process.<= br>
Examine available tools and develop tools for each area. (I.e. Expert Finder (identification), CVW - diffusion, Invention Machine (integration), Powe= rSim (Action)

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= = Secure Knowledge Management
Architecture
Knowledge Creation and Acquisition = Manager
Knowledge Representation =
Manager
Knowledge Manipulation
Manager
Knowledge Dissemination and Sharing
Manager
Define Security Pol= icies
Represent Security Policies
Enforce Security
Policies for access
Enforce Security
Policies for dissemination
None of these things were endorsed by military acquisitions, but all have gradua= lly started happening out of necessity and user requirements.
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Protecting Intellectual Property
0How can the assets of an organization be protected from competitors? <= /div>
-Role-based access = control policies
-Usage control policies
-Trust models <= /span>
-Secure workflow and process management
0What are the disadvantages = of not openly sharing the intellectual property? <= /div>
-Need an economic a= nalysis study and experimentation
-
-
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= = Integrating Policies:
Knowled= ge Management for Coalitions
Export
Knowledge/Policy
Component
Knowledge/Policies
 For  Agency A
Knowledge/Policy  for Coalition
Export
Knowledge/Policy
Component
Knowledge/Policy
For Agency C
Component
Knowledge/Policy
For Agency B
Export
Knowledge/Policy
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= = Secure Knowledge Management:  Strat= egy, Process and Metrics
0Strategy&= #13;
-Motivation for kno= wledge management and how to structure a knowledge management program
-Incorporate securi= ty into the planning process
0Process&#= 13;
-Use of Knowledge management to make existing practice more effective
-How can security be incorporated into the existing practices?
0Metrics&#= 13;
-Measure the impact= of knowledge management on an organization
-What is the impact= of security on the metrics? Example, how does role-based access control affect the management of intellectual property= ?
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Trust Management and Negotiation=
0Design a Tru= st Model
-Investigate the current t= rust models. Identify the inadequacies of current trust models= and design a model for the organization
=3DComponents i= nclude trust management, trust negotiation as well as economic tradeoffs
0Design a Lan= guage for specifying Trust policies
-Start with languages such= as XML, RDF and Web Rules language and incorporate features for = trust management and negotiation
0Design and d= evelop techniques for enforcing the trust policies
-Automated Trust Negotiati= on: A attempts to access database D based on access control policies; = However before A can access D, triggers go off and owner of D exchanges credential information with A
0Related Issu= es:
-Digital Rights Management, Content Management, - - - -
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= Secure Knowledge Management
Technologies
0Integration of Multiple Secure Data and Applications <= /span>Technologies to provide security = for Real and Virtual Organizations
0Examples technologies Include:= 3;
-Semantic Web
-Data Mining
-Supply Chain Management
-Multimedia information management
-- - - - - - -
0Integrating the Multiple Technologies is a major chal= lenge; also we need to determine how to adapt these technolo= gies for Real and Virtual Organizations?
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= = Layered Architecture for Dependable       &nbs= p;            =    Semantic Web
0 Some Challenges: Interoperability between Layers; Security and Privacy cut across all layers; Integratio= n of Services; Composability
XML, XML Schemas<= /div>
Rules/Query
Logic, Proof and Trust
SECURITY
Other
Services
RDF, Ontologies
URI, UNICODE
= P
= R
= I
= V
= A
= C
= Y
= 0Adapted from Tim Berners Lee’s description of the Semantic Web
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<= /div>
 
= = Relationships between Dependability, Confidential= ity, Privacy, Trust
Dependability
Confidentiality
Privacy
Trust
Dependability: Security,
Privacy, Trust, Real-time
Processing, Fault Tolerance; <= /div>
also sometimes referred to as =
“Trustworthiness”
Confidentiality: Preventing the re= lease of unauthorized in= formation considered sensitive
Privacy: Preventing the release of unauthorized information = about individuals considered sensitive
Trust: Confidence one has that an individual w= ill give him/her correct information
  or an individual will protect sensitive information
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<= /div>
 
<= /div>
 
= = Directions and Challenges for Securing the Semantic Web
0Secure Web Database Managem= ent and Secure Web Services are critical technologies for secur= ing the semantic web
0Steps for Securing the Semantic Web
0Security = and Ontologies
0XML Secur= ity for Securing the Semantic Web
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<= /div>
 
Secure Web Database Management
0Secure web data management= issues include:<= span lang=3DEN-US style=3D'mso-ansi-language:EN-US'>
-Extending traditional sec= urity mechanisms for web databases
=3DIntegrating security poli= cies
=3DSecure query, indexing and transaction management strategies
=3DSecurity impact for integ= rating heterogeneous databases
=3DAccess control mechanisms=
-Security specific for the web
=3DSecurity for unstructured databases such as multimedia, XML and RDF documents
=3DSecurity impact on Ontolo= gy management
=3DPrivacy violations due to= data mining
0Many developments reported in recent IF= IP 11.3 Database Security Conference Proceedings
=3D
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<= /div>
 
<= /div>
 
Secure Web Services
0How authenticity, confidentiality and integrity can be ensured in the presence of an untrusted UDDI?&#= 13;
0Traditional techniques are= not enough!
0Possible solutions:
-Integrity, confidentiality: selective encryption of the data managed by t= he UDDI according to the specified access control policies = ;
-Authenticity: Merkle hash trees
0Additional security properties:
-Completeness <= /span>
-Consistency=
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<= /div>
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<= /div>
 
<= /div>
 
Authenticity
….traditional digital signatures= do not fit well in third-party architectures!!
Service requestor
Service <= /span>provider
UDDI
Query
BusinessEnti= ty
BusinessServ= ice
BindingTempl= ate
<dsig:Signat= ure>
= 3;
BusinessServ= ice
tModel
PublisherAss= ertion
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