@inproceedings{fe46c6e5324f44f39d8ec28bf54c5eb2,
title = "NIDS research based on artificial immunology",
abstract = "Current network intrusion detection systems are of low intelligence level and have the main deficiency as being unable to detect new intrusive behaviors of unknown signatures. The protection mechanism of natural immune system has brought us inspirations to design a novel network intrusion detection system. The research on modeling a NIDS with natural immune system just started, including the negative selection algorithm proposed by S. Forrest and the basic system model proposed by J. Kim. Based on their works, this paper proposed a novel system structure including affinity mutation, which was used to improve the performance of anomaly detection, and established an basic system based on artificial immunology. This paper stressed on the novel construction and testing experiments. Result of the experiments proved that the application of the protection mechanism of natural immune system to network intrusion detection system has an exciting perspective.",
author = "Wenjian Luo and Xianbin Cao and Xufa Wang",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 3rd International Conference on Information and Communications Security, ICICS 2001 ; Conference date: 13-11-2001 Through 16-11-2001",
year = "2001",
doi = "10.1007/3-540-45600-7\_40",
language = "英语",
isbn = "3540428801",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "371--375",
editor = "Sihan Qing and Tatsuaki Okamoto and Jianying Zhou",
booktitle = "Information and Communications Security - 3rd International Conference, ICICS 2001, Proceedings",
address = "德国",
}