A new distributed intrusion detection method based on immune mobile agent

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6328 LNCS, Issue PART 1, 2010, Pages 233-243

  Li, Yongzhong ^a   Jing, Chunwei ^a   Xu, Jing ^b  

^a JIANGSU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b YANCHENG INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Distributed intrusion detectiont; Immune agent; Mobile agent; Network security

Indexed keywords

BOTTLENECK PROBLEM; DATA SETS; DISTRIBUTED COMPONENTS; DISTRIBUTED INTRUSION DETECTION; DISTRIBUTED INTRUSION DETECTION SYSTEMS; DISTRIBUTED INTRUSION DETECTIONT; FALSE POSITIVE RATES; FAULT-TOLERANT; FOLLOWING PROBLEM; HIGH DETECTION RATE; IMMUNE AGENT; IMMUNE SYSTEMS; INTRUSION DETECTION SYSTEMS; NETWORK LOAD; PROCESSING CENTER; REAL TIME CAPABILITY; SELECTION ALGORITHM; SIMULATION RESULT; SINGLE POINT;

COMPUTER CRIME; COMPUTER SIMULATION; DATA FLOW ANALYSIS; DATA PROCESSING; FAULT TOLERANT COMPUTER SYSTEMS; INTELLIGENT COMPUTING; MOBILE AGENTS; NETWORK SECURITY; WIRELESS NETWORKS; DATA HANDLING; ENERGY CONSERVATION; MERCURY (METAL); SUSTAINABLE DEVELOPMENT;

INTRUSION DETECTION;

EID: 78649533718     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15621-2_27     Document Type: Conference Paper

References (16)

1. Axelsson, V.: Intrusion detection systems: A survey and taxonomy. Technical Report No 99-15, Chalmers University of Technology, Sweden
2. Hunteman, V.: Automated information system-(AIS) alarm system. In: 20th NIST-NCSC National Information Systems Security Conference, pp. 394-405. IEEE Press, New York (1997)
3. Staniford Chen, S., Cheung, S., Crawford, R., et al.: Grids: a graph based intrusion detection system for large networks. In: 19th National Information System Security Conference. National Institute of Standards and Technology, vol. 1, pp. 361-370. IEEE Press, Los Alamitos (1996)
4. Porras, P.A., Neumann, P.G.: MERALD: event monitoring enabling responses to anomalous live disturbances. In: 20th National Information Systems Security Conference, National Institute of Standards and Technology, pp. 11-13. IEEE Press, Los Alamitos (1997)
5. Spafford, E.H.: Intrusion detection using autonomous agent. Computer Networks 3(4), 547-570 (2000)
6. Dasgupta, D., Brian, H.: Mobile security agent for network traffic analysis. In: DARPA Information Survivability Conference and Exposition II (DISCEX-II), Anaheium, CA, pp. 332-340. IEEE Press, Los Alamitos (2001)
7. Jansen, W., Mell, P., Karygiannis, T., Marks, D.: Mobile agents in intrusion detection and response. In: 12th Annual Canadian Information Technology Security Symposium, pp. 12-18. IEEE Press, Ottawa (2000)
8. Hofmeyr, S.A., Forrest, S., Somayaji, A.: Intrusion detection using sequences of system calls. Journal of Computer Security 6, 151-180 (1998)
9. Kim, J., Bentley, P.: Towards an artificial immune system for network intrusion detection: an investigation of dynamic clonal selection. In: Congress on Evolutionary Computation, Honolulu, pp. 1015-1020 (2002)
10. Kim, J., Bentley, P., Aickelin, U., et al.: Immune system approaches to intrusion detectiona review. Natural Computting 6, 413-466 (2007) (Pubitemid 47629391)
11. Aickelin, U., Greensmith, J., Twycross, J.: Immune system approaches to intrusion detection-a review. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, vol. 3239, pp. 316-329. Springer, Heidelberg (2004)
12. Glickman, M., Balthrop, J., Forrest, S.: A machine learning evaluation of an artificial immune system. Evolutionary Computation 13(2), 179-212 (2005) (Pubitemid 40892153)
13. Gomez, J., Gonzalez, F., Dasgupta, D.: An immune-fuzzy approach to anomaly detection. In: 12th IEEE International Conference on Fuzzy Systems (FUZZIEEE), vol. 2, pp. 1219-1224. IEEE Press, Los Alamitos (May 2003)
14. Carver, C., Hill, J., Surdu, J., Pooch, U.: A methodology for using intelligent agents to provide automated intrusion response. In: IEEE Systems, Man, and Cybemetics Information Assurance and Security Workshop, West Point, New York, pp. 110-116 (2000)
15. Zainal, A., Maarof, M.A., Shamdudd, S.M.: In.: Feature selection using rough set in intrusion detection. In: Proc. IEEE TENCON, p. 4 (2006)
16. Kim, B.j., Kim, I.k.: Kernel based intrusion detection system. In: Proc. IEEE ICIS, pp. 6 (2005)