Computer Defense Using Artificial Intelligence

摘要

As library-based techniques of virus and intrusion detection prove insufficient to be means of protection for computer systems and networks, alternate methods must be incorporated into computer defense. This paper surveys a variety of Artificial Intelligence methods aimed at improving the effectiveness of modern computer security in the face of more prevalent, sophisticated, and ever-changing threats. Specifically, Artificial Immune Systems, Genetic Algorithms, Genetic Programming, and Neural Networks are discussed primarily within the auspices of threat analysis and system testing. Several implemented solutions are discussed and analyzed. Additionally, the paper provides suggestions for the synthesis of varying methods with traditional security in order to create a stronger, more robust security system.