Evolving HMMs for network anomaly detection - Learning through evolutionary computation

6th International Conference on Networking and Services, ICNS 2010, Includes LMPCNA 2010; INTENSIVE 2010

Volumn , Issue , 2010, Pages 271-276

  Flores, Juan J ^a   Antolino, Anastacio ^a   Garcia, Juan M ^a  

^a UNIVERSIDAD MICHOACANA DE SAN NICOLÁS DE HIDALGO   (Mexico)

Author keywords

Anomaly detection; Baum welch; GAs; HMMs

Indexed keywords

ANOMALY DETECTION; BAUM-WELCH; BAUM-WELCH ALGORITHMS; EVOLUTIONARY COMPUTATIONS; IN-NETWORK; NETWORK ANOMALY DETECTION; NUMBER OF STATE; STATISTICAL KNOWLEDGE;

GENETIC ALGORITHMS; HIDDEN MARKOV MODELS; LOCOMOTIVES; PROBABILITY DENSITY FUNCTION; RAILROAD CARS;

PROBABILITY DISTRIBUTIONS;

EID: 77953043437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNS.2010.44     Document Type: Conference Paper

References (13)

1. M. H. Islam and M. Jamil, "Taxonomy of statistical based anomaly detection techniques for intrusion detection," pp. 270-276, 2005.
2. K.-J. Won, T. Hamelryck, A. Prugel-Bennett, and A. Krogh, "Evolving hidden markov models for protein secondary structure prediction," Evolutionary Computation, IEEE, vol. 1, pp. 1-18, September 2005.
3. M. Korayem, A. Badr, and I. Farag, "Optimizing hidden markov models using genetic algorithms and artificial immune systems," Computing and Information Systems, vol. 11, no. 2, 2007.
4. L. R. Rabiner, "A tutorial on hidden markov models and selected applications in speech recognition," Proceedings of the IEEE, vol. 77, no. 2, February 1989.
5. L. R. Rabiner and B. H. Juang, "An introduction to hidden markov models," IEEE ASSP Magazine, 1986.
6. Y. Bengio, "Markovian models for sequential markovian models for sequencial data," Statistical Science, 1997.
7. P. Nicholl, A. Amira, D. Bouchaffra, and R. H. Perrot, "A statistical multiresolution approach for face recognition using structural hidden markov models," EURASIP Journal on Advances in Signal Processing, ACM, vol. 2008, p. 13, 2008.
8. P. Bhuriyakorn, P. Punyabukkana, and A. Suchato, "A genetic algorithm-aided hidden markov model topology estimation for phoneme recognition of thai continuous speech," in Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. IEEE, 2008, pp. 475-480.
9. X. Zhang, Y. Wang, and Z. Zhao, "A hybrid speech recognition training method for hmm based on genetic algorithm and baum welch algorithm," IEEE, pp. 572-572, 2007.
10. D. Dasgupta and H. Brian, "Mobile security agents for network traffic analysis," IEEE Transactions on Power Systems, vol. 2, no. 332-340, 2001.
11. F. Jemili, M. Zaghdoud, and M. Ben Ahmed, "A framework for an adaptive intrusion detection system using bayesian network," Intelligence and Security Informatics, IEEE, 2007.
12. S. Singh, W. Donat, K. Pattipati, and P. Willet, "Anomaly detection via feature-aided tracking and hidden markov model," Aerospace Conference, IEEE, pp. 1-18, March 2007.
13. C. Warrender, S. Forrest, and B. Pearlmutter, "Detecting intrusions using system calls: Alternative data models," in Security and Privacy, 1999. Proceedings of the 1999 IEEE Symposium on. IEEE, May 1999, pp. 133-145.