Date Added: Jun 2011
This paper presents a proposed anti-viruses strategy, the last intended to be reliable and adaptive tool to deal with complex environment suffer from huge no. of viruses attacks, where these viruses may be known, unknown, predictable or even non predictable. By using association rules for analyzing proposed database which its transactions are the tracked infected files by most reliable and strong anti-viruses, its attributes are the most critical attributes for anti-viruses systems. The extracted rules and some proposed unextracted rules will be analyzed, to build the proposed anti-viruses' strategy. The anti-viruses strategy requires more advanced models, to deal with the complex environment. Multi-Agent System (MAS) is suggested to provide powerful tool for modeling complex systems to detect various viruses.