Hierarchical Takagi-Sugeno Models for Online Security Evaluation Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  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