Cloud Based Malware Detection Through Behavioral Entropy

Most of malware virus detection platforms rely on static techniques and checking for specific signatures files. In this paper we propose a cloud based malware detection method capable of monitoring behavioral characteristics of file; which subsequently results in some behavioral pattern that is accordingly classified into corresponding malware families. The proposed method significantly improves malware detection rates along with minimal false positives