An Immune-inspired Adaptive Automated Intrusion Response System Model
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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Springer
2012-09-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25868011.pdf |
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author | Ling-xi Peng Dong-qing Xie Ying Gao Wen-bin Chen Fu-fang Li Wu Wen Jue Wu |
author_facet | Ling-xi Peng Dong-qing Xie Ying Gao Wen-bin Chen Fu-fang Li Wu Wen Jue Wu |
author_sort | Ling-xi Peng |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-12T16:32:44Z |
format | Article |
id | doaj.art-34208df2de2d4e558fe5017bc4143689 |
institution | Directory Open Access Journal |
issn | 1875-6883 |
language | English |
last_indexed | 2024-04-12T16:32:44Z |
publishDate | 2012-09-01 |
publisher | Springer |
record_format | Article |
series | International Journal of Computational Intelligence Systems |
spelling | doaj.art-34208df2de2d4e558fe5017bc41436892022-12-22T03:25:05ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832012-09-015510.1080/18756891.2012.733205An Immune-inspired Adaptive Automated Intrusion Response System ModelLing-xi PengDong-qing XieYing GaoWen-bin ChenFu-fang LiWu WenJue WuAn 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.https://www.atlantis-press.com/article/25868011.pdfartificial immunenetwork securityautomated intrusion response systemintelligent system |
spellingShingle | Ling-xi Peng Dong-qing Xie Ying Gao Wen-bin Chen Fu-fang Li Wu Wen Jue Wu An Immune-inspired Adaptive Automated Intrusion Response System Model International Journal of Computational Intelligence Systems artificial immune network security automated intrusion response system intelligent system |
title | An Immune-inspired Adaptive Automated Intrusion Response System Model |
title_full | An Immune-inspired Adaptive Automated Intrusion Response System Model |
title_fullStr | An Immune-inspired Adaptive Automated Intrusion Response System Model |
title_full_unstemmed | An Immune-inspired Adaptive Automated Intrusion Response System Model |
title_short | An Immune-inspired Adaptive Automated Intrusion Response System Model |
title_sort | immune inspired adaptive automated intrusion response system model |
topic | artificial immune network security automated intrusion response system intelligent system |
url | https://www.atlantis-press.com/article/25868011.pdf |
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