An Immune-inspired Adaptive Automated Intrusion Response System Model

DOI

10.1080/18756891.2012.733205How to use a DOI?

Keywords

artificial immune, network security, automated intrusion response system, intelligent system

Abstract

An immune-inspired adaptive automated intrusion response system model, named as , is proposed. The descriptions of self, non-self, immunocyte, memory detector, mature detector and immature detector of the network transactions, and the realtime network danger evaluation equations are given. Then, the automated response polices are adaptively performed or adjusted according to the realtime network danger. Thus, not only accurately evaluates the network attacks, but also greatly reduces the response times and response costs.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Ling-xi Peng
AU  - Dong-qing Xie
AU  - Ying Gao
AU  - Wen-bin Chen
AU  - Fu-fang Li
AU  - Wu Wen
AU  - Jue Wu
PY  - 2012
DA  - 2012/09/01
TI  - An Immune-inspired Adaptive Automated Intrusion Response System Model
JO  - International Journal of Computational Intelligence Systems
SP  - 808
EP  - 815
VL  - 5
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2012.733205
DO  - 10.1080/18756891.2012.733205
ID  - Peng2012
ER  -