Tutorial CICS 1:Computational Intelligence in Cyber Security
Tuesday, March 31, 2:00PM-4:00PM, Room: Kingsley
Presenter: Dipankar Dasgupta
Center for Information Assurance
and Intelligent Security Systems Research Laboratory
The University of Memphis
Computational Intelligence techniques have proven to be flexible in decision making in dynamic environment. They typically include Fuzzy Logic, Evolutionary Computation, Intelligent Agent Systems, Neural Networks, Cellular Automata, Artificial Immune Systems and other similar computational models. The use of these techniques allowed building efficient and robust decision support modules, providing cross-linking solutions to different cyber security applications.
This tutorial will be devoted to the application of the state-of-the-art CI-based technologies–in particular, immunity-based approaches. Similar to the biological immune system, it is impractical to find and patch every security hole in a large network of computers. We have taken initiatives to build an autonomic cyber security system using a number of features of the biological immune system (BIS) to improve security in computers and networked systems.
IEEE SSCI 2009 March 30 – April 2, 2009 Sheraton Music City Hotel, Nashville, TN, USA