On the Appropriateness of Negative Selection defined over Hamming Shape-Space as a Network Intrusion Detection System
Artificial immune systems have become popular in recent years as a new approach for intrusion detection systems. Indeed, the (natural) immune system applies very effective mechanisms to protect the body against foreign intruders. We present empirical and theoretical arguments, that the artificial immune system negative selection principle, which is primarily used for network intrusion detection systems, has been copied to naively and is not appropriate and not applicable for network intrusion detection systems.
On the Appropriateness of Negative Selection defined over Hamming Shape-Space as a Network Intrusion Detection System
Proceedings of the Congress on Evolutionary Computation (CEC-2005)
| Authors: | Thomas Stibor, J. Timmis, and Claudia Eckert |
| Year/month: | 2005/9 |
| Booktitle: | Proceedings of the Congress on Evolutionary Computation (CEC-2005) |
| Address: | Edinburgh, UK |
| Publisher: | IEEE Press |
| Fulltext: |
Abstract |
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| Artificial immune systems have become popular in recent years as a new approach for intrusion detection systems. Indeed, the (natural) immune system applies very effective mechanisms to protect the body against foreign intruders. We present empirical and theoretical arguments, that the artificial immune system negative selection principle, which is primarily used for network intrusion detection systems, has been copied to naively and is not appropriate and not applicable for network intrusion detection systems. | |
Bibtex:
@inproceedings { Stibor2005,author = { Thomas Stibor and J. Timmis and Claudia Eckert},
title = { On the Appropriateness of Negative Selection defined over Hamming Shape-Space as a Network Intrusion Detection System },
year = { 2005 },
month = { September },
booktitle = { Proceedings of the Congress on Evolutionary Computation (CEC-2005) },
address = { Edinburgh, UK },
publisher = { IEEE Press },
}