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.
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Li, T., Ding, J., Liu, X., Yang, P. (2005). A New Model of Immune-Based Network Surveillance and Dynamic Computer Forensics. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539117_113
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DOI: https://doi.org/10.1007/11539117_113
Publisher Name: Springer, Berlin, Heidelberg
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