A logic program semantics-based framework for immune anomaly detection

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  title =        "A logic program semantics-based framework for immune
                 anomaly detection",
  author =       "Chengyu Tan and Hongbin Dong and Yiwen Liang",
  booktitle =    "Proceedings of the Third Asian-Pacific workshop on
                 Genetic Programming",
  year =         "2006",
  editor =       "The Long Pham and Hai Khoi Le and Xuan Hoai Nguyen",
  pages =        "76--85",
  ISSN =         "18590209",
  address =      "Military Technical Academy, Hanoi, VietNam",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/aspgp06/Tan_2006_ASPGP.pdf",
  size =         "10 pages",
  abstract =     "Some algorithms of Artificial Immune System, such as
                 negative selection algorithm, can not effectively
                 capture semantic information in some complex problem
                 spaces. In fact, many semantics exist in digit antigen
                 space. If we can recognise based on the semantics of
                 antigens, the accuracy of anomaly detection can be
                 improved. In this paper, by the background of system
                 call trails generated by process, we design a
                 systematic framework of artificial immunity applied to
                 process anomaly detection. This paper proposes to
                 descript antigens and immune detectors with first order
                 logic, and construct a time sequence model of immune
                 detector based upon stable model theory in extended
                 logic programming ELP. At last, we introduce a training
                 strategy of new immune detector based on genetic
                 inductive logic programming.",
  notes =        "http://www.aspgp.org",

Genetic Programming entries for Chengyu Tan Hongbin Dong Yiwen Liang