A Survey on Machine Learning Approach to Detect Malware

Selvarathi C, Et Al

doi:10.17762/turcomat.v12i2.1961

Abstract

Malware is one of the predominant challenges for the Internet users. In recent times, the injection of malwares into machines by anonymous hackers have been increased. This drives us to an urgent need of a system that detects a malware. Our idea is to build a system that learns with the previously collected data related to malwares and detects a malware in the give file, if it is present. We propose a various machine learning algorithm to detect a malware and indicates the user about the danger. In particular we propose to use a algorithm which give a optimal solution to hardware and software oriented malwares.

Highlights

Malware means “Malicious Software” which can be inject into the computer and get access of the computer programs and files
Malware has been get into a network through the third party and they can do a malicious activity which will get access through social engineering
The cyber attackers can develop a variety of malicious software which can be used to gain a data from the business people