Taxonomy of malware detection techniques
Mohaddes Deylami, Hanif; Muniyandi, R.C.; Ardekani, Iman; Sarrafzadeh, Hossein
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Citation:Mohaddes Deylami, H., Muniyandi, R. C., Ardekani, I. T., , & Sarrafzadeh, H. (2016, December). Taxonomy of malware detection techniques. IEEE Xplore (Ed.), 016 14th Annual Conference on Privacy, Security and Trust (PST) (pp.629-636). 10.1109/PST.2016.7906998.
Permanent link to Research Bank record:https://hdl.handle.net/10652/3876
Malware is an international software disease. Research shows that the effect of malware is becoming chronic. To protect against malware detectors are fundamental to the industry. The effectiveness of such detectors depends on the technology used. Therefore, it is paramount that the advantages and disadvantages of each type of technology are scrutinized analytically. This study’s aim is to scrutinize existing publications on this subject and to follow the trend that has taken place in the advancement and development with reference to the amount of information and sources of such literature. Many of the malware programs are huge and complicated and it is not easy to comprehend the details. Dissemination of malware information among users of the Internet and also training them to correctly use anti-malware products are crucial to protecting users from the malware onslaught. This paper will provide an exhaustive bibliography of methods to assist in combating malware.