{"title":"Malscanner – File Behavior Analysis using Machine Learning","authors":"Basil Abdulrahman, Abdulrahman Qanadeely, Abdulaziz Al-Hassan, Omar Al-Ghamdi, Nawaf Al-Sukaibi, N. Saqib","doi":"10.1109/LT58159.2023.10092346","DOIUrl":null,"url":null,"abstract":"MalScanner is a tool that aims to provide a simple, effective, and user-friendly method of scanning files for malicious behavior. Furthermore, MalScanner scans a file and extracts features to be used in machine learning assisted static malware analysis and inspects the file’s behavior dynamically. This tool also implements a blockchain database to store analysis results. The solution will be presented to the user in a straightforward manner via web application.","PeriodicalId":142898,"journal":{"name":"2023 20th Learning and Technology Conference (L&T)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 20th Learning and Technology Conference (L&T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LT58159.2023.10092346","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
MalScanner is a tool that aims to provide a simple, effective, and user-friendly method of scanning files for malicious behavior. Furthermore, MalScanner scans a file and extracts features to be used in machine learning assisted static malware analysis and inspects the file’s behavior dynamically. This tool also implements a blockchain database to store analysis results. The solution will be presented to the user in a straightforward manner via web application.
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