NDLI: A Dynamic Immunity-Based Real-time Network Risk Evaluation Method

Content Provider	IEEE Xplore Digital Library
Author	Zeng, J. Zeng, J.
Copyright Year	2008
Description	Author affiliation: University of Electronic Science and Technology of China, Chengdu, China (Zeng, J.) \|\| Sichuan University, Chengdu, China (Zeng, J.)
Abstract	According to the relationship between the antibody density and the pathogen attack intensity, a dynamic immunity-based real-time network risk evaluation method (DIRNR) is presented. In DIRNR, the concepts and formal definitions of self, nonself, antibody, antigen and immune detector in network risk evaluation domain are given. Then, depending on a series of immune responses to antigen, such as self evolution, self tolerance and immune detector lifecycle, the mathematical models for describing the change of network risk are established. Building upon the above models, a real-time network risk calculation model based on antibody density is presented. By using DIRNR, the types and intensity of network attacks can be calculated in real-time. In DIRNR, the concept of the antibody density in a biological immune system has been abstracted and extended, and a new method based on antibody density for network risk evaluation has been presented. The theoretical analysis and the experimental results show that the proposed method is a good solution to real-time evaluation for the network risk.
Sponsorship	Eng. Technol. Press, Hong Kong
Starting Page	3
Ending Page	6
File Size	496331
Page Count	4
File Format	PDF
ISBN	9780769535609
DOI	10.1109/ISBIM.2008.105
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pathogens network risk evaluation Protocols antibody density Biological system modeling Data security Cloning Computational Intelligence Society Computer science real-time immune response Detectors Cells (biology) Immune system pathogen attack intensity
Content Type	Text
Resource Type	Article

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