Hierarchical Takagi-Sugeno Models for Online Security Evaluation Systems

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

@InProceedings{Abraham:2009:IAS,

• author = "Ajith Abraham and Crina Grosan and Hongbo Liu and Yuehui Chen",
• title = "Hierarchical {Takagi-Sugeno} Models for Online Security Evaluation Systems",
• booktitle = "Fifth International Conference on Information Assurance and Security, IAS '09",
• year = "2009",
• month = aug,
• volume = "1",
• pages = "687--692",
• keywords = "genetic algorithms, genetic programming, hierarchical Takagi-Sugeno models, human perception, human reasoning, intrusion detection, neuro-fuzzy programming, online security evaluation systems, risk assessment, fuzzy reasoning, hierarchical systems, human factors, interactive programming, risk management, security of data",
• DOI = "doi:10.1109/IAS.2009.348",
• abstract = "Risk assessment is often done by human experts, because there is no exact and mathematical solution to the problem. Usually the human reasoning and perception process cannot be expressed precisely. This paper propose a light weight risk assessment system based on an Hierarchical Takagi-Sugeno model designed using evolutionary algorithms. Performance comparison is done with neuro-fuzzy and genetic programming methods. Empirical results indicate that the techniques are robust and suitable for developing light weight risk assessment models, which could be integrated with intrusion detection and prevention systems.",
• notes = "Also known as \cite{5283215}",

}

Genetic Programming entries for Ajith Abraham Crina Grosan Hongbo Liu Yuehui Chen

Citations