Comparative Analysis of Feature Extraction Methods of Malware Detection
作者： Smita Ranveer , Swapnaja Hiray
DOI: 10.5120/21220-3960
关键词:
摘要: Recent years have encountered massive growth in malwares which poses a severe threat to modern computers and internet security. Existing malware detection systems are confronting with unknown variants. Recently developed investigated that the diverse forms of exhibit similar patterns their structure minor variations. Hence, it is required discriminate types features extracted for detecting malwares. So potential system can be leveraged combat unfamiliar We mainly focus on categorization based analysis. This paper highlights general framework pinpoints strengths weaknesses each method. Finally we presented overview performance present features.
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