A logic program semantics-based framework for immune anomaly detection

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

@InProceedings{Tan:2006:ASPGP,

• 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://gpbib.cs.ucl.ac.uk/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 = "broken march 2020 http://www.aspgp.org",

}

Genetic Programming entries for Chengyu Tan Hongbin Dong Yiwen Liang

Citations