A Network Security Risk Assessment Method Based on Immunity Algorithm

Abstract:

Based on the research of domestic and foreign vulnerability assessment systems, in this paper, we propose an improved network security assessment method based on Immunity algorithm. It integrates the advantages of both host based and network based scan system. Our goal is to explore the known security vulnerabilities, and to check hosts’ security effectively as well. It has the features of self-adaptive, distributed, and real time. Therefore, it provides a good solution to risk assessment for network security.

• Periodical: Advanced Materials Research (Volumes 108-111)
• Pages: 948-953
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.108-111.948
• Online since: May 2010
• Authors: Hao Yuan
• Keywords: Immunity Algorithm, Network Security, Risk Assessment

References

[1] F. Sun, and F. Xu, Antibody concentration based method for network security situation awareness, Proc. The 3nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009), IEEE Press, vol. 1, pp.130-134, June (2009).

DOI: 10.1109/icbbe.2009.5162372

[2] T. Li, Dynamic detection for computer virus based on immune system, Science In China, Series F: Information Science, vol. 51, pp.1475-1486, October (2008).

DOI: 10.1007/s11432-008-0125-y

[3] N. Nanas, and A. De Roeck, Multimodal dynamic optimization: from evolutionary algorithms to artificial immune systems, Lecture Notes in Computer Science, vol. 4628, pp.13-24, August (2007).

DOI: 10.1007/978-3-540-73922-7_2

[4] M. G. Gong, H. F. Du, and L. C. Jiao, Optimal approximation of linear systems by artificial immune response, Science in China Ser. F Information Science, vol. 49, pp.63-79, January (2006).

DOI: 10.1007/s11432-005-0314-x

[5] T. Li, An immunity based network security risk estimation, Science in China Ser. F Information Science, vol. 48, pp.557-578, May (2005).

[6] H. F. Du, M. G. Gong, L. C. Jiao, and R. C. Liu, A novel artificial immune system algorithm for high-dimensional function numerical optimization, Progress in Nature Science, vol. 15, pp.463-471, May (2005).

[7] L. N. De Castro, and J. I. Timmis, Artificial immune systems as a novel soft computing paradigm, Soft Computing, vol. 7, pp.526-544, August (2003).

DOI: 10.1007/s00500-002-0237-z

[8] S. A. Hofmeyr, and S. Forrest, Architecture for an artificial immune system, Evolutionary Computation, vol. 8, pp.443-473, Winter (2000).

DOI: 10.1162/106365600568257

[9] S. Hofmeyr, and S. Forrest, Immunity by design: an artificial immune system, in Genetic Evolutionary Computation Conf., San Francisco, CA: IEEE Press, pp.1289-1296, (1999).

[10] S. Forrest, S. Hofmeyr, and A. Somayaji, Computer immunology, Communications of the ACM, vol. 40, pp.88-96, October (1997).

DOI: 10.1145/262793.262811