Chapter

Artificial Immune Systems

Volume 3627 of the series Lecture Notes in Computer Science pp 339-352

A Peer-to-Peer Blacklisting Strategy Inspired by Leukocyte-Endothelium Interaction

  • Bruce C. TrapnellJr.Affiliated withCarnegie Mellon UniversityTopGun Software, Inc. and the University of Maryland

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Abstract

This paper describes a multi-agent strategy for blacklisting malicious nodes in a peer-to-peer network that is inspired by the innate immune system, including the recruitment of leukocytes to the site of an infection in the human body. Agents are based on macrophages, T-cells, and tumor necrosis factor, and exist on network nodes that have properties drawn from vascular endothelial tissue. Here I show that this strategy succeeds in blacklisting malicious nodes from the network using non-specific recruitment. This strategy is sensitive to parameters that affect the recruitment of leukocyte agents to malicious nodes. The strategy can eliminate even a large, uniform distribution of malicious nodes in the network.