An immune based dynamic intrusion detection model.

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Bibliographic Details
Title: An immune based dynamic intrusion detection model.
Authors: Li Tao1 litao@scu.edu.cn
Source: Chinese Science Bulletin. Nov2005, Vol. 50 Issue 22, p2650-2657. 8p. 2 Diagrams, 10 Graphs.
Subjects: Computer simulation of immune system, Antigen analysis, Lymphocytes, Leukocytes, Immunocomputers, Immune system, Immunology
Abstract: With the dynamic description method for self and antigen, and the concept of dynamic immune tolerance for lymphocytes in network-security domain presented in this paper, a new immune based dynamic intrusion detection model (Idid) is proposed. In Idid, the dynamic models and the corresponding recursive equations of the lifecycle of mature lymphocytes, and the immune memory are built. Therefore, the problem of the dynamic description of self and nonself in computer immune systems is solved, and the defect of the low efficiency of mature lymphocyte generating in traditional computer immune systems is overcome. Simulations of this model are performed, and the comparison experiment results show that the proposed dynamic intrusion detection model has a better adaptability than the traditional methods. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:With the dynamic description method for self and antigen, and the concept of dynamic immune tolerance for lymphocytes in network-security domain presented in this paper, a new immune based dynamic intrusion detection model (Idid) is proposed. In Idid, the dynamic models and the corresponding recursive equations of the lifecycle of mature lymphocytes, and the immune memory are built. Therefore, the problem of the dynamic description of self and nonself in computer immune systems is solved, and the defect of the low efficiency of mature lymphocyte generating in traditional computer immune systems is overcome. Simulations of this model are performed, and the comparison experiment results show that the proposed dynamic intrusion detection model has a better adaptability than the traditional methods. [ABSTRACT FROM AUTHOR]
ISSN:10016538
DOI:10.1360/982005-62