Cooperative Automated Worm Response and Detection Immune Algorithm
Artificial Intelligence
2010-07-05 v1 Cryptography and Security
Neural and Evolutionary Computing
Abstract
The role of T-cells within the immune system is to confirm and assess anomalous situations and then either respond to or tolerate the source of the effect. To illustrate how these mechanisms can be harnessed to solve real-world problems, we present the blueprint of a T-cell inspired algorithm for computer security worm detection. We show how the three central T-cell processes, namely T-cell maturation, differentiation and proliferation, naturally map into this domain and further illustrate how such an algorithm fits into a complete immune inspired computer security system and framework.
Cite
@article{arxiv.1001.2155,
title = {Cooperative Automated Worm Response and Detection Immune Algorithm},
author = {Jungwon Kim and William Wilson and Uwe Aickelin and Julie McLeod},
journal= {arXiv preprint arXiv:1001.2155},
year = {2010}
}
Comments
14 pages, 2 figures, 2 tables, 4th International Conference on Artificial Immune Systems (ICARIS)