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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

A Proposed Anti-viruses Strategy for a Complex Environment with a Huge Number of Viruses Attacks

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Author Mohammad Alaa Hussain Al-Hamami
ISSN 2079-8407
On Pages 291-295
Volume No. 2
Issue No. 6
Issue Date June 01, 2011
Publishing Date June 01, 2011
Keywords viruses, anti-viruses, MAS, data mining, and association rules.


This research 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. Depending on the decomposition of system into several interacting and autonomous entities called agents, it is possible to build such a strategy.  


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