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1
A Queuing Formulation of Intrusion Detection = with Active and Passive Responses
Wei T. Yue, Metin Cakanyildirim,  Young U. Ryu=
Department of Information Systems and Operations Management <= /span>
School of Management
The University of Texas at Dallas
Richardson, Texas 75083-0688, USA
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2
Intr= oduction
nTraditional IDS response tends to be passive – “passive response”= 3;
nSecondary investigation required because <= /span>IDS is still imperfect
nSecondary investigation may not occur instantaneously
nThese days, IDS can be set up to respond <= /span>to events automatically – “active response”
n
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3
Intr= oduction
nActive response – dropping connection, reconfiguring networking devices (firewalls, routers), additional intelligence mining (honeypots)
= n= 3;
= nWe only consider terminating connection
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4
Intr= oduction
nIn the intrusion detection process, IDS configuration decision and the alarm investigation decision are related nAlarm investigation resource would affect the de= lays in response in both active and passive response nIf multiple alarm types involved, which alarm to investigate is an issue
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5
Rese= arch Goals
nFinding the corresponding configuration and investigation decision for the active = and passive response approach
= n= 3;
nDeterm= ine the “switching” policy on intrusion response
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6
Prob= lem Description
nPassive response
npotential damage cost - resulting from alarmed events not investigated immediately
nlow false alarm costs since alarmed events are not disrupted&#= 13;
n
n =
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7
Prob= lem Description
nActive response
nIt could prevent attack damage because the events are terminated immediately
nhigher false alarm costs contingent on the performance of the IDS=
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8
Prob= lem Description
- Active response: false alarm cost is rela= ted to delay
- Passive response: damage cost is related = to delay
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Prob= lem Description
nUndetected, or non-alarmed intrusive events are assumed to be the same for the two response approach
= n= 3;
nGiven = the parameter values, the decisions involved with the active and passive response approaches are different
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IDS Quality: ROC curve
nA representation of IDS quality – detection rates (W(PF)) and false alarm rate = (PF)
= n= 3;
nIDS qua= lity can be determined exper= imentally – MIT Lincoln Lab (Lippman et al 2000a 200b), Columbia IDS group (Lee and Stolfo, 2000), etc
= n
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IDS Quality: ROC curve
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12
A Queuing Model of Intrusion Detection
nBenign and intru= sive event arrivals – Independent Poisson process with rate lB and lI=
= nN R= 11; number of investigator
= nµ= ; - investigation rate
= nE(W(PF,N)) =3D1/{N µ-PF lB -W (PF) lI= }
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A Queuing Model of Intrusion Detection: Active Response
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A Queuing Model of Intrusion Detection: Passive Response
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15
A Queuing Model of Intrusion Detection
n&= #13;
n&= #13;
n&= #13;
n&= #13;
n&= #13;
nWe rewrite the N in terms of slack service rate S
nS =3D mN-PF l<= i>B-W(PF)lI <= /i>
n =
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