Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 12, Issue 2


Published
on

April 5, 2021


Pages

2309-2314


DOI

Article

A Survey on Machine Learning Approach to Detect Malware


Authors

Selvarathi C Affiliation:
Department of Computer Science and Engineering, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India -639113
, Jeevitha J Affiliation:
Department of Computer Science and Engineering, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India -639113
, Kevin Akash M Affiliation:
Department of Computer Science and Engineering, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India -639113
, Rajkumar R Affiliation:
Department of Computer Science and Engineering, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India -639113
and Vaisaali K Affiliation:
Department of Computer Science and Engineering, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India -639113


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.


Keywords

Malware file, feature dataset, extraction, training, testing, classification


Citation

C, S., J, J., M, K. A., R, R., & K, V. (2021). A survey on machine learning approach to detect malware. Turkish Journal of Computer and Mathematics Education, 12(2), 2309–2314.

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