Game-theoretic strategies for IDS deployment in peer-to-peer networks

Pratik Narang () and Chittaranjan Hota ()
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Pratik Narang: BITS-Pilani, Hyderabad campus
Chittaranjan Hota: BITS-Pilani, Hyderabad campus

Information Systems Frontiers, 2015, vol. 17, issue 5, No 5, 1017-1028

Abstract: Abstract This work studies the problem of optimal positioning of Intrusion Detection Systems (IDSs) in a Peer-to-Peer (P2P) environment involving a number of peers and super-peers. This scenario applies to network architectures like that of Gnutella, Skype or Tor, which involve a huge number of leaf-peers and a selected number of super-peers who have higher responsibilities in the network. A malicious entity may become part of the P2P network by joining from any part of the network. It can attack a super-peer and thus disrupt the functioning of the P2P network. Peers may try to secure the network by running IDSs at certain strategically-chosen locations in the network. But a deterministic schedule of running and positioning the IDSs can be observed and thwarted by an adversary. In this paper, we explore the problem of strategically positioning IDSs in a P2P network with a randomized, game-theoretic approach. Our approach distributes the responsibility of running the IDSs between the peers in a randomized fashion and minimizes the probability of a successful attack.

Keywords: Peer-to-peer; Intrusion detection; Game theory (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10796-015-9582-1

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