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Recently, various invasions of malwares and their incurred damages threaten the usability and privacy of computer systems. Due to the dramatic growth of these attacks, malware detection has been brought up as an important topic in computer security. Since traditional signature based techniques embedded in commercial anti-viruses have failed to detect new and obfuscated malwares, machine learning algorithms...
The proliferation of malware has been causing great harm to computer and information systems. Traditional signature-based approaches fail to detect obfuscated malware and unknown malware. We present a preliminary study on classifying with compression of program instructions for malware detection. The code structure information was utilized to compress. The disassembled code is converted to its intermediate...
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