A Survey On Malware Detection for WebURLs and PE Files Using Machine Learning

J. N. Ekatpure, Archana S. Bichkule, Shital M. Kamble and Rutuja U. Lawand

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 10, 62-65

Abstract: Malware such as Viruses, Worms, Trojans, Backdoors are some of the threats to computer system and internet.in recent years malware count is increased in millions. In the past few years millions of malwares were found in portable executable files which are downloaded from the internet. As the solution to this, it is highly desirable for users to detect such malware files, so that users can secure the devices as well as highly confidential data. Malware Detection System is an application which will detect the malwares from the portable executable files. The proposed system uses KNN algorithm to predict the malware files and legitimate files. so users can easily differentiate between them and secure their systems. The database will be generated by extracting maximum features of Portable Executable files which improves the accuracy of the model. The system implements pure machine learning algorithms to identify every malware file.

Keywords: Machine Learning; Malware; Portable Executable Files (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2361010
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