This week we have talk from one of our visitor Quanyan Zhu.
The abstract is:
Game-theoretical Approach to Incentive Design in Collaborative IDS Network
Intrusion detection systems (IDS) identify intrusions by comparing observable behavior against suspicious patterns. Traditional IDS works in isolation and may be easily compromised by unknown or new threats. An intrusion detection network is a collaborative IDS network intended to overcome this weakness by allowing IDS peers to share collective knowledge and experience and hence improving overall accuracy of intrusion assessment. In this work, we build a game-theoretically based incentive design model for peers to collaborate without free-riding in a network environment. We show the existence and uniqueness of the Nash equilibrium under which peers can communicate in an incentive compatible manner. Using primal and dual algorithms, we are able to show the convergence of an iterative algorithm to the equilibrium. Its distributed feature allows to implement in a realistic setting demonstrated by our numerical experiments.
1 comment:
This week we have talk from one of our visitor Quanyan Zhu.
The abstract is:
Game-theoretical Approach to Incentive Design in Collaborative IDS Network
Intrusion detection systems (IDS) identify intrusions by comparing observable behavior against suspicious patterns. Traditional IDS works in isolation and may be easily compromised by unknown or new threats. An intrusion detection network is a collaborative IDS network intended to overcome this weakness by allowing IDS peers to share collective knowledge and experience and hence improving overall accuracy of intrusion assessment. In this work, we build a game-theoretically based incentive design model for peers to collaborate without free-riding in a network environment. We show the existence and uniqueness of the Nash equilibrium under which peers can communicate in an incentive compatible manner. Using primal and dual algorithms, we are able to show the convergence of an iterative algorithm to the equilibrium. Its distributed feature allows to implement in a realistic setting demonstrated by our numerical experiments.
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Venue: Salle se reunion(Mostly) at 2 PM.
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