Book chapter
Biologically Inspired Attack Detection in Superpeer-Based P2P Overlay Networks
Bio-Inspired Models of Networks, Information, and Computing Systems, pp 99-114
2012
Abstract
We present a bio-inspired mechanism that allows a peer-to-peer overlay network to adapt its topology in response to attacks that try to disrupt the overlay by targeting high-degree nodes. Our strategy is based on the diffusion of an “alert hormone” through the overlay network, in response to node failures. A high level of hormone concentration in a node induce that node to switch protocol. That leads to a self-organized modification of the entire overlay from a superpeer, scale-free layout, to a flatter network that is much less vulnerable to targeted attacks. As the hormone is metabolized with time, nodes switch back to the original protocol and reconstruct a superpeer overlay. We demonstrate and evaluate this mechanism on top of the peer-to-peer Myconet overlay, which is itself self-organized and bio-inspired.
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2 citations in Scopus
Details
- Title
- Biologically Inspired Attack Detection in Superpeer-Based P2P Overlay Networks
- Creators
- Paul L. Snyder - Drexel UniversityYusuf Osmanlioglu - Drexel UniversityGiuseppe Valetto - Drexel University
- Publication Details
- Bio-Inspired Models of Networks, Information, and Computing Systems, pp 99-114
- Series
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Computer Science
- Scopus ID
- 2-s2.0-84869594442
- Other Identifier
- 991019173446704721