A Survey on Machine Learning Approach to Detect Malware

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 c...

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Bibliographic Details
Published inTurkish journal of computer and mathematics education Vol. 12; no. 2; pp. 2309 - 2314
Main Authors Selvarathi, C, Jeevitha, J, Akash, M Kevin, Rajkumar, R, Vaisaali, K
Format Journal Article
LanguageEnglish
Published Gurgaon Ninety Nine Publication 11.04.2021
Subjects
Algorithms
Artificial Intelligence
Computer Science
Computer Software
Engineering Education
Machine learning
Malware
Regression (Statistics)
Supervision
Online AccessGet full text
ISSN1309-4653
1309-4653
DOI10.17762/turcomat.v12i2.1961

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Summary: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.
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ISSN:1309-4653
1309-4653
DOI:10.17762/turcomat.v12i2.1961