A new model of immune-based network surveillance and dynamic computer forensics

Authors:
Tao Li;Juling Ding;Xiaojie Liu;Pin Yang
Affiliations:
Sichuan University, Chengdu, China;Sichuan University, Chengdu, China;Sichuan University, Chengdu, China;Sichuan University, Chengdu, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Year:
2005

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Abstract

Dynamically evolutive models and recursive equations for self, antigen, dynamic computer forensics, immune tolerance, mature-lymphocyte lifecycle and immune memory are presented. Following that, a new model, referred to as Insdcf, for computer network surveillance and dynamic computer forensics is proposed. Simulation results show that the proposed model has the features of real-time processing, self-learning, self-adaptivity, and diversity, thus providing a good solution for computer network surveillance and dynamic computer forensics.