Abstract
This paper analyzes the unique characteristics of a grid environment and the deficiencies of current grid intrusion detection systems, and proposes a novel immunity and mobile agent based grid intrusion detection (IMGID) model. Then, the concepts and formal definitions of self, nonself, antibody, antigen and agent in the grid security domain are given. Furthermore, the mathematical models of self, mature MoA (mature monitoring agent) and dynamic memory MoA (memory monitoring agent) survival are established. Our theoretical analysis and experimental results show that the model is a good solution to grid intrusion detection.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Foster, Kesselman, C., Tsudik, G., Tuecke, S.: A Security Architecture for Computational Grids. In: Proc. of Computer and Communication Security (1998)
Leu, F.-Y., Lin, J.-C., Li, M.-C., Yang, C.-T.: A Performance-Based Grid Intrusion Detection System. In: Proc. of International Computer Software and Applications, vol. 1, pp. 525–530 (2005)
De Castro, L.N., Timmis, J.I.: Artificial Immune Systems as a Novel Soft Computing Paradigm. Soft Computing journal 7, 526–544 (2003)
Tolba, M., Abdel-Wahab, M., Taha, I., Al-Shishtawy, A.: GIDA: Toward Enabling Grid Intrusion Detection Systems. In: Proc. of the Second International Intelligent Computing and Information Systems Conference (2005)
Forrest, S., Hofmeyr, S., Somayaji, A.: Computer Immunology. In: Proc. of Communications of the ACM, vol. 40, pp. 88–96 (1997)
Somayaji, A., Hofmeyr, S.A., Forrest, S.: Principles of a Computer Immune System. In: Proc. of the New Security Paradigms 1997, pp. 75–82 (1997)
Li, T.: Compute immunology. Publishing House of Electronics Industry, Beijing (2004)
Li, T.: A New Model for Dynamic Intrusion Detection. LNCS, pp. 72–84. Springer, Heidelberg (2005)
Li, T.: An Immune based Dynamic Intrusion Detection Model. Chinese Science Bulletin, 2650–2657 (2005)
Li, T.: An Immunity based Network Security Risk Estimation. Science in China Ser. F Information Sciences, 557–578 (2005)
Li, T.: An Immune-Based Model for Computer Virus Detection. LNCS, pp. 59–71. Springer, Heidelberg (2005)
Dasgupta, D.: Immunity-based Intrusion Detection System: A general framework. In: Proc. of 22nd National Information Systems Security Conference, pp. 147–160 (1999)
Machado, R.B., Boukerche, A., Sobral, J.B.M., Juca, K.R.L., Notare, M.S.M.A.: A Hybrid Artificial Immune and Mobile Agent Intrusion Detection Base Model for Computer Network Operations. In: Proc. of the 19th IEEE International Parallel and Distributed Processing (2005)
Lin, J., Wang, C., Gou, Y.: Agent-based Access Control Security in Grid computing Environment. In: Proc. of Networking, Sensing and Control (2005)
Paul, K.H., Paul, D.W., Gregg, H.G., Gary, B.L.: An Artificial Immune System Architecture for Computer Security Applications. In: Proc. of IEEE Transactions on Evolutionary Computation, vol. 6 (2002)
Paul, K.H., Paul, D.W., Gregg, H.G., Gary, B.L.: An Artificial Immune System Architecture for Computer Security Applications. In: Proc. of IEEE Transaction on Evolutionary Computation, vol. 6, pp. 252–280 (2002)
Murshed, M., Buyya, R., Abramson, D.: GridSim: A Grid Simulation Toolkit for Resource Management and Scheduling in Large-Scale Grid Computing Environments. In: Proc. of the 17th IEEE International Symposium on Parallel and Distributed (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gong, X., Li, T., Liang, G., Wang, T., Yang, J., Hu, X. (2006). Immunity and Mobile Agent Based Grid Intrusion Detection. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence and Bioinformatics. ICIC 2006. Lecture Notes in Computer Science(), vol 4115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816102_69
Download citation
DOI: https://doi.org/10.1007/11816102_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37277-6
Online ISBN: 978-3-540-37282-0
eBook Packages: Computer ScienceComputer Science (R0)