A Survey of Artificial Immune System Based Intrusion Detection

In the area of computer security, Intrusion Detection (ID) is a mechanism that attempts to discover abnormal access to computers by analyzing various interactions. There is a lot of literature about ID, but this study only surveys the approaches based on Artificial Immune System (AIS). The use of AI...

Full description

Saved in:
Bibliographic Details
Main Authors: Hua Yang, Tao Li, Xinlei Hu, Feng Wang, Yang Zou
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/156790
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832557089063436288
author Hua Yang
Tao Li
Xinlei Hu
Feng Wang
Yang Zou
author_facet Hua Yang
Tao Li
Xinlei Hu
Feng Wang
Yang Zou
author_sort Hua Yang
collection DOAJ
description In the area of computer security, Intrusion Detection (ID) is a mechanism that attempts to discover abnormal access to computers by analyzing various interactions. There is a lot of literature about ID, but this study only surveys the approaches based on Artificial Immune System (AIS). The use of AIS in ID is an appealing concept in current techniques. This paper summarizes AIS based ID methods from a new view point; moreover, a framework is proposed for the design of AIS based ID Systems (IDSs). This framework is analyzed and discussed based on three core aspects: antibody/antigen encoding, generation algorithm, and evolution mode. Then we collate the commonly used algorithms, their implementation characteristics, and the development of IDSs into this framework. Finally, some of the future challenges in this area are also highlighted.
format Article
id doaj-art-4086ecc44d1446b4987ed4b89c679cc3
institution Kabale University
issn 2356-6140
1537-744X
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-4086ecc44d1446b4987ed4b89c679cc32025-02-03T05:43:39ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/156790156790A Survey of Artificial Immune System Based Intrusion DetectionHua Yang0Tao Li1Xinlei Hu2Feng Wang3Yang Zou4College of Computer Science, Sichuan University, Chengdu 610064, ChinaCollege of Computer Science, Sichuan University, Chengdu 610064, ChinaCollege of Computer Science, Sichuan University, Chengdu 610064, ChinaCollege of Computer Science, Sichuan University, Chengdu 610064, ChinaCollege of Computer Science, Sichuan University, Chengdu 610064, ChinaIn the area of computer security, Intrusion Detection (ID) is a mechanism that attempts to discover abnormal access to computers by analyzing various interactions. There is a lot of literature about ID, but this study only surveys the approaches based on Artificial Immune System (AIS). The use of AIS in ID is an appealing concept in current techniques. This paper summarizes AIS based ID methods from a new view point; moreover, a framework is proposed for the design of AIS based ID Systems (IDSs). This framework is analyzed and discussed based on three core aspects: antibody/antigen encoding, generation algorithm, and evolution mode. Then we collate the commonly used algorithms, their implementation characteristics, and the development of IDSs into this framework. Finally, some of the future challenges in this area are also highlighted.http://dx.doi.org/10.1155/2014/156790
spellingShingle Hua Yang
Tao Li
Xinlei Hu
Feng Wang
Yang Zou
A Survey of Artificial Immune System Based Intrusion Detection
The Scientific World Journal
title A Survey of Artificial Immune System Based Intrusion Detection
title_full A Survey of Artificial Immune System Based Intrusion Detection
title_fullStr A Survey of Artificial Immune System Based Intrusion Detection
title_full_unstemmed A Survey of Artificial Immune System Based Intrusion Detection
title_short A Survey of Artificial Immune System Based Intrusion Detection
title_sort survey of artificial immune system based intrusion detection
url http://dx.doi.org/10.1155/2014/156790
work_keys_str_mv AT huayang asurveyofartificialimmunesystembasedintrusiondetection
AT taoli asurveyofartificialimmunesystembasedintrusiondetection
AT xinleihu asurveyofartificialimmunesystembasedintrusiondetection
AT fengwang asurveyofartificialimmunesystembasedintrusiondetection
AT yangzou asurveyofartificialimmunesystembasedintrusiondetection
AT huayang surveyofartificialimmunesystembasedintrusiondetection
AT taoli surveyofartificialimmunesystembasedintrusiondetection
AT xinleihu surveyofartificialimmunesystembasedintrusiondetection
AT fengwang surveyofartificialimmunesystembasedintrusiondetection
AT yangzou surveyofartificialimmunesystembasedintrusiondetection