Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
I know my network: collaboration and expertise in intrusion detection
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
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Intrusion Detection Systems (IDSs) are designed to monitor network traffic and computer activities in order to alert users about suspicious intrusions. Collaboration among IDSs allows users to benefit from the collective knowledge and information from their collaborators and achieve more accurate intrusion detection. However, most existing collaborative intrusion detection networks rely on the exchange of intrusion data which raises privacy concerns. To overcome this problem, we propose SMURFEN: a knowledge-based intrusion detection network, which provides a platform for IDS users to effectively share their customized detection knowledge in an IDS community. An automatic knowledge propagation mechanism is proposed based on a decentralized two-level optimization problem formulation, leading to a Nash equilibrium solution which is proved to be scalable, incentive compatible, fair, efficient and robust.