4,454 research outputs found
PeerHunter: Detecting Peer-to-Peer Botnets through Community Behavior Analysis
Peer-to-peer (P2P) botnets have become one of the major threats in network
security for serving as the infrastructure that responsible for various of
cyber-crimes. Though a few existing work claimed to detect traditional botnets
effectively, the problem of detecting P2P botnets involves more challenges. In
this paper, we present PeerHunter, a community behavior analysis based method,
which is capable of detecting botnets that communicate via a P2P structure.
PeerHunter starts from a P2P hosts detection component. Then, it uses mutual
contacts as the main feature to cluster bots into communities. Finally, it uses
community behavior analysis to detect potential botnet communities and further
identify bot candidates. Through extensive experiments with real and simulated
network traces, PeerHunter can achieve very high detection rate and low false
positives.Comment: 8 pages, 2 figures, 11 tables, 2017 IEEE Conference on Dependable and
Secure Computin
Stability of Mixed-Strategy-Based Iterative Logit Quantal Response Dynamics in Game Theory
Using the Logit quantal response form as the response function in each step,
the original definition of static quantal response equilibrium (QRE) is
extended into an iterative evolution process. QREs remain as the fixed points
of the dynamic process. However, depending on whether such fixed points are the
long-term solutions of the dynamic process, they can be classified into stable
(SQREs) and unstable (USQREs) equilibriums. This extension resembles the
extension from static Nash equilibriums (NEs) to evolutionary stable solutions
in the framework of evolutionary game theory. The relation between SQREs and
other solution concepts of games, including NEs and QREs, is discussed. Using
experimental data from other published papers, we perform a preliminary
comparison between SQREs, NEs, QREs and the observed behavioral outcomes of
those experiments. For certain games, we determine that SQREs have better
predictive power than QREs and NEs
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