A Comparative study of Computational Intelligence in Computer Security and Forensics

Because of the growing reliance that corporations and government agencies place on their computer networks, the significance of defending these systems from attack cannot be underestimated. Computer security and forensics are crucial in protecting systems from attack or from unauthorized access that might have undesirable consequences, and can help to ensure that a network infrastructure will remain integrated and survive. The use of high quality techniques within a system will provide a better protected system, and will offer clues that might help in any criminal investigation. Techniques such as artificial neural networks, fuzzy logic, and evolutionary computing can be used to help deal with issues associated with computer security and forensics. This paper concentrates on the use of neural networks, fuzzy logic, and evolutionary computation in computer security and forensics. It also examines the hybrids of these three techniques, and considers how they can be applied to computer security and forensics.