A Review on Malware Detection Schemes Using Machine Learning Techniques

Malware is a one type of software which can harm the computer’s operating system and it may also steal the personal information from the computer. Malware can be made by using any programming language by the programmer. It is very difficult to define a malware with a single term or a single name. A malware can be considered as a malicious software or malcode or it is also known as a malicious code .Malware do the bulk of the intrusive activities on a system and that spreads itself across the hosts in a network. Malware detection techniques can be classified into 2 categories the static analysis techniques and the dynamic analysis techniques. The static techniques involve looking into the binaries directly or the reverse engineering. The code for patterns is the same. This paper attempts to provide a brief survey of all the work that has been done in the field of malware detection. All literatures have been properly reviewed and discussed for their merits and demerits.