Intelligent multi-agent based genetic fuzzy ensemble network intrusion detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3316, Issue , 2004, Pages 983-988

  Sivatha Sindhu, Siva S ^a   Ramasubramanian, P ^a   Kannan, A ^a  

^a ANNA UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY INFERENCE; GENETIC ALGORITHMS; MULTI AGENT SYSTEMS;

CORPORATE INFORMATION SYSTEMS; DISTRIBUTED APPROACHES; DISTRIBUTED SYSTEMS; ENSEMBLE NETWORKS; INTELLIGENT MULTI-AGENT; MANUAL ANALYSIS; NETWORKING SYSTEMS; SECURITY MANAGEMENT;

INTRUSION DETECTION;

EID: 35048866479     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Article

References (6)

1. KDD-cup data set, Available at URL http://kdd.ics.uci.edu/databases/ kddcup99/kddcup99.html (2004)
2. Michael, C.C., Anup Ghosh.: Simple, State-Based Approaches to Program-Based Anomaly Detection. In ACM Transactions on Information and System Security. 5 (2002) 203-237.
3. Nong Ye, Sean Vilbert and Qiang Chen.: Computer Intrusion Detection Through EWMA for Autocorrelated and Uncorrelated Data. In Proceedings of IEEE Transactions on Reliability. 52 (2003) 75-82.
4. Pikoulas, J., Buchanan, W.J., Manion, M., Triantafyllopoulos, K.: An intelligent agent intrusion system. In Proceedings of the 9th IEEE International Conference and Workshop on the Engineering of Computer Based Systems - ECBS, IEEE Comput. Soc., Luden, Sweden. (2002) 94-102.
5. Java Aglet, IBM Tokyo Research Laboratory, Available at URL http : //www.trl.ibm.co.jp/aglets (2004)
6. Triantafyllopoulos, K., Pikoulas, J.: Multivariate Bayesian regression applied to the problem of network security. Journal of Forecasting. 21 (2002) 579-594.