Random number generation and quasi-Monte Carlo methods
Random number generation and quasi-Monte Carlo methods
Temporal sequence learning and data reduction for anomaly detection
ACM Transactions on Information and System Security (TISSEC)
The 1999 DARPA off-line intrusion detection evaluation
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on recent advances in intrusion detection systems
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
An Immunological Approach to Change Detection: Algorithms, Analysis and Implications
SP '96 Proceedings of the 1996 IEEE Symposium on Security and Privacy
Indra: A peer-to-peer approach to network intrusion detection and prevention
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
Architecture for an Artificial Immune System
Evolutionary Computation
Inferring Internet denial-of-service activity
ACM Transactions on Computer Systems (TOCS)
Mitigating denial of service attacks: a tutorial
Journal of Computer Security
A Trust-Aware, P2P-Based Overlay for Intrusion Detection
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Wireshark & Ethereal Network Protocol Analyzer Toolkit (Jay Beale's Open Source Security)
Wireshark & Ethereal Network Protocol Analyzer Toolkit (Jay Beale's Open Source Security)
Agent-Based approach for distributed intrusion detection system design
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
An immunity-based technique to characterize intrusions in computernetworks
IEEE Transactions on Evolutionary Computation
A formal framework for positive and negative detection schemes
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Defending against flooding-based distributed denial-of-service attacks: a tutorial
IEEE Communications Magazine
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The Human Immune System (HIS) plays an important role in protecting the human body from various intruders ranging from naive germs to the most sophisticated viruses. It acts as an Intrusion Detection and Prevention System (IDPS) for the human body and detects anomalies that make the body deviate from its normal behavior. This inspired researchers to build Artificial Immune Systems (AISes) which imitate the behavior of the HIS and are capable of protecting hosts or networks from attacks. An Artificial Immune System (AIS) is capable of detecting novel attacks because it is trained to differentiate between the normal behavior (self) and the abnormal behavior (non-self) during a tolerization (i.e training) period. Although several AISes have been proposed, only a few make use of collaborative approaches. In this paper we propose P2P-AIS, a P2P approach for AISes in which peers exchange intrusion detection experience in order to enhance attack detection and mitigation. P2P-AIS implements Chord as a distributed hash table (DHT) protocol to organize the peers.