A Prefix Hijacking Detection Model Based on the Immune Network Theory
The prefix hijacking problem is an urgent security issue that need to address in the Border Gateway Protocol (BGP) security research. In order to solve the problem of prefix hijacking in BGP, we propose (a) new (p)refix (h)ijacking (d)etection model based on the immune network theory in this paper,...
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doaj-d2aca740cb4c4672a759812f622ec1112021-04-05T17:17:20ZengIEEEIEEE Access2169-35362019-01-01713238413239410.1109/ACCESS.2019.29410068835890A Prefix Hijacking Detection Model Based on the Immune Network TheoryJian Zhang0Daofeng Li1Bowen Zhao2https://orcid.org/0000-0001-9864-9729School of Computer, Electrical and Information, Guangxi University, Nanning, ChinaSchool of Computer, Electrical and Information, Guangxi University, Nanning, ChinaSchool of Computer Science and Engineering, South China University of Technology, Guangzhou, ChinaThe prefix hijacking problem is an urgent security issue that need to address in the Border Gateway Protocol (BGP) security research. In order to solve the problem of prefix hijacking in BGP, we propose (a) new (p)refix (h)ijacking (d)etection model based on the immune network theory in this paper, called aPHD. To be specific, aPHD uses real BGP UPDATE messages for pre-training and has the ability to detect UPDATE messages in real time after pre-training. The aPHD (1) can effectively detect prefix hijacking attacks with high accuracy; (2)is easy to deployment; and (3) has a low false positive rate and low overhead. Extensive performance evaluation shows that our solution is secure and feasible. The aPHD improved the accuracy rate by 6.2% and reduced the false positive rate by 85.7%.https://ieeexplore.ieee.org/document/8835890/Immune network theoryprefix hijackingBGP securitynegative selection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jian Zhang Daofeng Li Bowen Zhao |
spellingShingle |
Jian Zhang Daofeng Li Bowen Zhao A Prefix Hijacking Detection Model Based on the Immune Network Theory IEEE Access Immune network theory prefix hijacking BGP security negative selection |
author_facet |
Jian Zhang Daofeng Li Bowen Zhao |
author_sort |
Jian Zhang |
title |
A Prefix Hijacking Detection Model Based on the Immune Network Theory |
title_short |
A Prefix Hijacking Detection Model Based on the Immune Network Theory |
title_full |
A Prefix Hijacking Detection Model Based on the Immune Network Theory |
title_fullStr |
A Prefix Hijacking Detection Model Based on the Immune Network Theory |
title_full_unstemmed |
A Prefix Hijacking Detection Model Based on the Immune Network Theory |
title_sort |
prefix hijacking detection model based on the immune network theory |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
The prefix hijacking problem is an urgent security issue that need to address in the Border Gateway Protocol (BGP) security research. In order to solve the problem of prefix hijacking in BGP, we propose (a) new (p)refix (h)ijacking (d)etection model based on the immune network theory in this paper, called aPHD. To be specific, aPHD uses real BGP UPDATE messages for pre-training and has the ability to detect UPDATE messages in real time after pre-training. The aPHD (1) can effectively detect prefix hijacking attacks with high accuracy; (2)is easy to deployment; and (3) has a low false positive rate and low overhead. Extensive performance evaluation shows that our solution is secure and feasible. The aPHD improved the accuracy rate by 6.2% and reduced the false positive rate by 85.7%. |
topic |
Immune network theory prefix hijacking BGP security negative selection |
url |
https://ieeexplore.ieee.org/document/8835890/ |
work_keys_str_mv |
AT jianzhang aprefixhijackingdetectionmodelbasedontheimmunenetworktheory AT daofengli aprefixhijackingdetectionmodelbasedontheimmunenetworktheory AT bowenzhao aprefixhijackingdetectionmodelbasedontheimmunenetworktheory AT jianzhang prefixhijackingdetectionmodelbasedontheimmunenetworktheory AT daofengli prefixhijackingdetectionmodelbasedontheimmunenetworktheory AT bowenzhao prefixhijackingdetectionmodelbasedontheimmunenetworktheory |
_version_ |
1721539958407168000 |