An alarming trend in malware attack’s are that they are equipped with advance sophisticated techniques to breakout from security countermeasures. Detecting a malware is challenging but combining different detection models together increases the chances by exploring malicious activity from different viewpoints, this paper proposes a collaborative static and dynamic analysis for spotting malicious behaviors of files. Malware detector is the essential tool in protecting against malware’s. The results of such detector are determined by the methodologies it uses. therefore, it is essential to investigate malware detection techniques and identify their strengths and boundaries.
Following is the pdf file for the publication.