ANOMALY DETECTION IN DISTRIBUTED COMPUTER COMMUNICATION SYSTEMS

REFERENCES

• Bohacek , S. , E. Jonckheere , and K. Shah . 2002 . Dynamic Modeling of Internet Traffic for Intrusion Detection , American Control Conference (ACC 2002) , Anchorage , Alaska , May 8–10 , 2002 , pp. 2436 – 2442 .
   Google Scholar
• Dasgupta , D. and H. Brian . 2001 . Mobile security agents for network traffic analysis . In Proceedings of DARPA information survivability conference and exposition II , vol. 2 . Anaheim , California : IEEE Computer Society Press , pp. 332 – 340 .
   Google Scholar
• Denning , D. E. 1987 . An intrusion detection model . IEEE Transactions on Software Engineering , 13 ( 2 ): 222 – 232 . [CSA]
   Web of Science ®Google Scholar
• Gorodetski , V. , O. Karsaev , A. Khabalov , I. Kotenko , L. Popyack , and V. Skormin . 2001 . Agent-based model of computer network security system: A case study . In Proceedings of international workshop “Mathematical methods, models and architectures for computer network security ,” Lecture Notes in Computer Science , Vol. 2052 . Springer Verlag , pp. 39 – 50 .
   Google Scholar
• Juszczyszyn , K. , N. T. Nguyen , G. Kolaczek , A. Grzech , A. Pieczynska , and R. Katarzyniak . 2006 . Agent-based approach for distributed intrusion detection system design . In Proc. of the International conference on computational science , Lecture Notes in Computer Science , vol. 3993 . Springer Verlag , pp. 224 – 231 .
   Google Scholar
• Kolaczek , G. , A. Kuchtiak-Pieczynska , K. Juszczyszyn , A. Grzech , R. Katarzynak , and N. T. Nguyen . 2005 . A mobile agent approach to intrusion detection in network systems . Lecture Notes in Artificial Intelligence , vol. 3682 . Springer Verlag , pp. 514 – 519 .
   Google Scholar
• et al. . 2003 . Multi-agent modeling and simulation of distributed denial-of-service attacks on computer networks . In Proceedings of third international conference navy and shipbuilding nowaday , 38 – 47 , St. Petersburg .
   Google Scholar
• Liao , Y. 2005 . Machine learning in intrusion detection . Ph.D. Thesis, University of California, Davis.
   Google Scholar
• Nicol , D. , M. Liljenstam , and J. Liu . 2003 . Multiscale modeling and simulation of worm effects on the internet routing infrastructure . In Proc. of 13th International Conference on Modeling Techniques and Tools for Computer Performance Evaluation ( Performance Tools 2003 ), Urbana , IL , pp. 1 – 10 .
   Google Scholar