Real time intrusion prediction, detection and prevention programs

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Abraham:2008:ieeeISI,

• author = "Ajith Abraham",
• title = "Real time intrusion prediction, detection and prevention programs",
• booktitle = "IEEE International Conference on Intelligence and Security Informatics, ISI 2008",
• year = "2008",
• month = jun,
• pages = "xli--xlii",
• note = "IEEE ISI 2008 Invited Talk (VI)",
• keywords = "genetic algorithms, genetic programming, distributed intrusion detection systems, hidden Markov model, intrusion detection program, online risk assessment, real time intrusion detection, real time intrusion prediction, real time intrusion prevention, hidden Markov models, risk management, security of data",
• DOI = "doi:10.1109/ISI.2008.4565018",
• size = "1.1 pages",
• abstract = "An intrusion detection program (IDP) analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. In this talk, we present some of the challenges in designing efficient intrusion detection systems (IDS) using nature inspired computation techniques, which could provide high accuracy, low false alarm rate and reduced number of features. Then we present some recent research results of developing distributed intrusion detection systems using genetic programming techniques. Further, we illustrate how intruder behavior could be captured using hidden Markov model and predict possible serious intrusions. Finally we illustrate the role of online risk assessment for intrusion prevention systems and some associated results.",
• notes = "Also known as \cite{4565018}",

}

Genetic Programming entries for Ajith Abraham

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