Intelligent agent based artificial immune system for computer security-a review

Artificial Intelligence Review

Volumn 32, Issue 1-4, 2009, Pages 13-43

  Ramakrishnan, Sivakumar ^a   Srinivasan, Sujatha ^b  

^a A V V M SRI PUSHPAM COLLEGE   (India)

^b BHARATHIDASAN UNIVERSITY   (India)

Author keywords

Agent based IDS; Artificial immune system; Computer security; Intrusion detection system; Network security

Indexed keywords

AGENT BASED; ARTIFICIAL IMMUNE SYSTEM; AUTOMATED CODE; COMPUTER SCIENTISTS; COMPUTER SECURITY; HUMAN BODIES; HUMAN IMMUNE SYSTEMS; INTELLIGENT AGENT TECHNOLOGY; INTERNET SECURITY SYSTEMS; RESEARCH CHALLENGES; SECURITY MECHANISM; STATE OF THE ART; TROJANS;

ARTIFICIAL INTELLIGENCE; AUTONOMOUS AGENTS; COMPUTER VIRUSES; FUZZY CLUSTERING; IMMUNOLOGY; INTELLIGENT AGENTS; INTERNET; INTRUSION DETECTION; SECURITY SYSTEMS; VIRUSES;

NETWORK SECURITY;

EID: 75149138866     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10462-009-9131-8     Document Type: Review

References (32)

1. MR Ahmedi D Maleki 2008 An intrusion detection technique using co-co immune system for distributed data networks (CoCo-ISD) IJCSNS Int J Comput Sci Netw Sec 8 4 160 169
2. Aickelin U, Cayzer S (2002) The danger theory and its application to artificial immune systems. In: Proceedings of the 1st internat. Conference on aRtificial immune systems (ICARIS-2002), UK, Canterbury, pp 141-148
3. Aickelin U, Greensmith J, Twycross J (2004) Immune system approaches to intrusion detection-a review. In: Nicosia G et al (eds) ICARIS 2004, LNCS 3239. Springer, pp 316-329
4. Baumer C, Breugst M, Choy S, Magedanz T (2004) Grasshopper-a universal agent platform based on OMG MASIF and FIPA standards, Grasshopper developed by the ikv++ technologies. Accessed on http://213.160.69.23/grasshopper-website/
5. Boukerche A, Machado RB, Juca KRL, Sobral JBM, Notare MSMA (2007) An agent based and biological inspired real-time intrusion detection and security model for computer network operations. Comput Commun (30), 2649-2660, Elsevier
6. Bye R, Schmidt S, Luther K, Albayrak S (2008) Application-level simulation for network security. In: Proceedings of the 1st international conference on simulation tools and techniques for communications, networks and systems & workshops, March 03-07, 2008, France, Marseille
7. Byrski A, Carvalho M (2008) Agent-based immunological intrusion detection system for mobile Ad-Hoc networks. In: Bubak M et al (eds) ICCS 2008, Springer, pp 584-593
8. J Claessens B Preneel J Vandewalle 2003 (How) Can mobile agents do secure electronic transactions on untrusted hosts? A survey of the security issues and the current solutions ACM Trans Int Technol 3 1 28 48 10.1145/643477.643479
9. Dasgupta D (1999) Immunity-based intrusion detection system : a general framework. In: Proceedings of 22nd national information systems security conference, Arlington, Virginia, USA, pp 147-160
10. Dasgupta D, Ji Z, Gonzalez F (2003) Artificial immune system (AIS) research in the last five years. In: Proceedings of congress on evolutionary computation conference (CEC). Canberra, Australia: December, pp 123-130
11. Gong X, Li T, Liang G, Wang T, Yang J, Hu X (2006a) Immunity and mobile agent based grid intrusion detection. In: Huang D-S, Li K, Irwin GW (eds) Proceedings of ICIC 2006, LNBI 4115, Springer, pp 651-659 (Pubitemid 44532212)
12. Gong X, Li T, Wang T, Yang J, Liu S, Liang G (2006b) An immune mobile agent based grid intrusion detection model. In: Wang T-D et al (eds) Proceedings of SEAL 2006, LNCS 4247, Springer, pp 112-119 (Pubitemid 44812328)
13. Gong X, Li T, Wang T, Yang J, Liang G, Hu X (2006c) Grid intrusion detection based on immune agent. In: Jiao L et al (eds) Proceedings of ICNC 2006, Part II, LNCS 4222, Springer, pp 73-82 (Pubitemid 44618000)
14. Greensmith J, Aickelin U, Cayzer S (2008) Detecting danger: the dendritic cell algorithm. Robust intelligent systems, Springer, London, pp 89-112
15. PK Harmer PD Williams GH Gunsch GB Lamont 2002 An artificial immune system architecture for computer security applications IEEE Trans Evol Comput 6 3 252 280 10.1109/TEVC.2002.1011540 (Pubitemid 34867249)
16. Hilker M (2008) Next challenges in bringing artificial immune systems to production in network security. In: Proceedings of BIONETICS, Budapest, Hungary, Arxiv preprint arXiv:0805.1786, 2008- arxiv.org
17. Hu Q, Qui J, Song G (2007) Immune multi-agent network intrusion defense model. In: Proceedings of the third international conference on natural computation (ICNC 2007), pp 2875-2879
18. Ishida Y (2008) The next generation of immunity-based systems: from specific recognition to computational intelligence. Studies in computational intelligence (SCI), vol 115. Springer, Berlin, pp 1091-1121
19. Kim J, Bentley J P, Aickelin U, Greensmith J, Tedesco G, Twycross J (2007) Immune system approaches to intrusion detection-a review. Natural computing, vol 6. Springer, Berlin, pp 413-466
20. Le Boudec J-Y, Sarajanovic S (2004) An artificial immune system approach to misbehavior detection in mobile Ad-Hoc networks. In: Proceedings of Bio-ADIT 2004 (The first international workshop on biologically inspired approaches to advanced information technology), Lausanne, Switzerland, pp 96-111
21. Liu S, Li T, Wang D, Zhao K, Gong X, Hu X, Xu C, Liang G (2006) Immune multi-agent active defense model for network intrusion. In: Wang et al (eds) SEAL 2006, LNCS 4247, Springer, pp 104-111
22. S Liu T Li D Wang X Hu C Xu 2007 Multi-agent network intrusion active defense model based on immune theory, Wuhan University J Nat Sci 12 1 167 171
23. Luther K, Bye R, Alpcan T, Muller A, Albayrak S (2007) A cooperative AIS framework for intrusiondetection. In: Proceedings of the international conference on communications, Glasgow, pp 1409-1416, doi: 10.1109/ICC.2007.237 (Pubitemid 351145733)
24. Machado RB, Boukerche A, Sobral JBM, Juca KRL, Notare Mirela SMA (2005) A hybrid artificial immune and mobile agent intrusion detection based model for computer network operations. In: Proceedings of the 19th IEEE international parallel and distributed processing symposium (IPDPS'05), 1530-2075/05
25. Okamoto T, Ishida Y (2007) Framework of an immunity-based anomaly detection system for user behavior. In: Apolloni B et al (eds) KES 2007/ WIRN 2007, LNAI 4694, Springer, pp 821-829
26. Watanabe Y, lshida Y (2004) Mutual tests using immunity-based diagnostic mobile agents in distributed intrusion detection systems. In: Proceedings of artificial life robotics (ISAROB, 2004), vol 8, pp 163-167
27. RV Yampolskiy V Govindaraju 2007 Computer security: a survey of methods and systems J Comput Sci 3 7 478 486 10.3844/jcssp.2007.478.486
28. Yang J, Liu XJ, Li T, Liang G, Liu S (2009) Distributed agents model for intrusion detection based on AIS. Knowledge-based systems 22(2):115-119, Elsevier
29. Yeom K-W, Park J-H (2005) An immune system inspired approach of collaborative intrusion detection system using mobile agents in wireless ad hoc networks. In: Hao Y et al (eds) CIS 2005, Springer, pp 204-211
30. Yue X, Abraham A, Chi Z-X, Hao Y-Y, Mo H (2006) Artificial immune system inspired behavior-based anti-spam filter. Soft Comput 11:729-740, Springer
31. Zhang Z, Luo W, Wang X (2005) Designing abstract immune mobile agents for distributed intrusion detection. In: Proceedings of the international conference on neural networks and brain, ICNN&B '05, Beijing, (2):748-753. doi: 10.1109/ICNNB.2005.1614734
32. Zhongmin C, Yu W, Baowen X (2007) The algorithm design of agent for detecting and analyzing data in intrusion detection based on immune principle. In: Proceedings of the international conference on wireless communications, Networking and mobile computing. WiCom 2007, Shanghai, pp 1779-1783