A rule based probabilistic technique for malware code detection

• Published in: Multiagent and grid systems 2016-01, Vol.12 (4), p.271-286
• Main Authors: Chakraborty, Sanjay, Dey, Lopamudra
• Format: Article
• Language: English
• ISSN: 1574-1702; 1875-9076
• DOI: 10.3233/MGS-160254

Security is one of the major concerns in generic computing system which is used in our day to day life to deal with various aspects like education, banking, communication, entertainment etc. Security is obtained to prevent threats that usually affect the end users of other areas as well (like grid computing, cloud computing etc.). Malicious code deployment is the main cause of threat. This paper mainly proposes a novel malicious code detection technique (Rule based probabilistic malware detection (RBPMD)) which provides security in the traditional computing system. In this paper, RBPMD technique follows a rule based probabilistic technique to detect the malicious codes among several codes and warn the other non-infected guest machines about it. A prototype of RBPMD is designed and implemented in this paper. It creates less overhead as well as occupies less storage space compare to other well-known anti-viruses. Its implementation cost is also low compare to others. At last, a comparison analysis of this proposed technique is given with other popular malware detection techniques.