Grid intrusion detection based on soft computing by modeling real-user's normal behaviors

2006 IEEE International Conference on Granular Computing

Volumn , Issue , 2006, Pages 558-561

  Zhang, Guiling ^a   Sun, Jizhou ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

GRID intrusion detection; Self organize map; Soft computing

Indexed keywords

COMPUTER SIMULATION; DATABASE SYSTEMS; GENETIC ALGORITHMS; INTELLIGENT AGENTS; PARAMETER ESTIMATION; PROGRAM PROCESSORS; SELF ORGANIZING MAPS;

DESCRIPTION PARAMETERS; GRID INTRUSION DETECTION; INTRUSION EVIDENCES; SOFT COMPUTING;

COMPUTATIONAL METHODS;

EID: 33751090708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. J. Wu, D. Cheng, W. Zhao, "Detecting Grid-abuse Attacks by Source-based Monitoring", 17th International Conference on Parallel and Distributed Computing Systems, International Society Computers & Their Applications, September 2004.
2. A. Abraham, R. Jain, J. Thomas, S. Y. Han, "D-Scids: Distributed Soft Computing Intrusion Detection System", Journal of Network and Computer Applications, Elsevier, Available online 30 August 2005.
3. E. Frias-Martinez, G. Magoulas, S. Chen, and Macredie R., "Modeling Human Behavior in User-adaptive Systems: Recent Advances Using Soft Computing Techniques", Expert System with Applications, Vol. 29(2), 2005.
4. I.M. Hegazy, T. Al-Arif, Z.T Fayed, H.M. Faheem, "A Multi-agent Based System for Intrusion Detection", IEEE Potentials, Volume 22(4), Nov., 2003.
5. Zaki M., S. Tarek, "A Cooperative Agent-based Model for Active Security System", Academic Press, Journal of Network and Computer Applications, Vol. 27(4), Nov., 2004.
6. W. Hongjun, W. Ruijun, W. Cuirong, G. Yuan, "Agent-Based Distributed Intrusion Source Identification", IEEE Proceedings of the 2003 International Conference on Computer Networks and Mobile Computing (ICCNMC'03), 2003.
7. I. Foster, C. Kesselman, G.Tsudik, S. Tuecke, "A Security Architecture for Computational Grids", In Proceeding of 5th ACM Conf. on Computer and Communication Security 1997.
8. Lotfi A. Zadeh, "Soft Computing and Fuzzy Logic", IEEE Software, Volume 11 (6), November 1994.
9. W. Lee and S. J. Stolfo, "Data Mining Approaches for Intrusion Detection", In 7th USENIX Security Symposium, 1998.
10. C. Warrender, S. Forrest, B. Pearlmutter, "Detecting Intrusions Using System Calls - alternative data models", In Proceedings of the IEEE Symposium on Security and Privacy, 1999.
11. Sung-Bae Cho, "Incorporating Soft Computing Techniques Into A Probabilistic Intrusion Detection System", IEEE Transactions on Systems, Man, and Cybernetics, Part C vol. 32(2), May 2002.
12. S. Kenny, B.A. Coghlan, "Grid-wide Intrusion Detection system", In Proceeding of Crakow Grid Workshop 2004, Crakow, December 2004.
13. P. Lichodzijewski, A. N. Zincir-Heywood, M. I. Heywood, "Host-Based Intrusion Detection Using Self-Organizing Maps", Proceedings of the IEEE 2002 International Joint Conference on Neural Networks, Hawaii, USA, May 2002.
14. T. Kohonen, S. Kaski, K. Lagus, J. Salojrvi, J. Honkela, V. Paatero & A. Saarela, "Self Organization of a Massive Text Document Collection", In E. Oja & S. Kaski, editors, Kohonen maps, Elsevier, Amsterdam, 1999.
15. A.M. Tang, C. Quek, and G.S. Ng, "GA-TSKFNN: Parameters Tuning of Fuzzy Neural Network Using genetic Algorithms", Expert Systems with Applications, Vol. 29(4), November 2005.
16. F. Leung, H. Lam, S. Ling, and P. Tam, "Tuning of the Structure and Parameters of a Neural Network Using an Improved Genetic Algorithm," IEEE Trans. Neural Network, Vol.14(1), Jan. 2003.
17. H. Shih-Wen, T. Hung-Cheng, "Applying a Hybrid Approach Based on Fuzzy Neural Network and Genetic Algorithm to Product Form Design", International Journal of Industrial Ergonomics, Volume 35(5), May 2005.