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In recent years, malicious software has affected and overshadowed personal computer and computer network securities. For this reason, searching for innovative solutions to detect malware has become increasingly important. In this paper, we develop a malware detection method using similarity measurement algorithms. The purpose of the proposed method is to improve the malware detection rate and detection...
Virus writers make their viruses undetectable by using obfuscation methods, which ends in metamorphic viruses. We propose a method named detection circle which is based on the hidden Markov Model theory. We have used three elements to characterize a family of viruses: string occurrence probability, specifically-located character occurrence probability, and the amount of virus similarities. For the...
Malware has been generally accepted as one of the top security threats to computer systems around the globe. As malware evolves at a tremendous pace and demonstrates new ways to exploit, infect and victimize the computer systems of enterprises and businesses, remaining economically viable is becoming increasingly difficult. The new trends of malware development are focused on the use of complex and...
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