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Elovici, '‘Acquisition of malicious code using active learning’' Proceedings of Privacy, Security, and Trust in KDD (2009) Google Scholar
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The experiments are conducted on the malware dataset collected from VX Heavens and benign executables (gathered from fresh installation of Windows XP operating system and other utility software’s). The redundant features are eliminated using grams and instruction opcodes (opcodes along with addressing modes). Techniques for malware detection and demonstrate methods of feature selection that are best suited for detection purposes. With the emergence of metamorphic malware (that uses complex obfuscation techniques), signature-based detectors fail to identify new variants of malware.
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Once installed, the malicious programs perform unintentional activities like: a) steal user name, password b) install spy software to provide remote access to the attackers c) flood spam messages d) perform denial of service attacks, etc. Malware are unknowingly installed by naïve users while browsing the internet. Malware or malicious code intends to harm the computer systems without the knowledge of system users.