Browsing by Author "HOUD et DJEHICHE, MOHAMED et RAID"

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    WEB BROWSER EXTENSION FOR DETECTING MALICIOUS WEB CONTENT
    (FACULTY: MATHIMATICS AND COMPUTER SCIENCE DEPARTEMENT: COMPUTER SCIENC - OPTION : RTIC, 2020) HOUD et DJEHICHE, MOHAMED et RAID
    Malicious content on the web became a global risk at web users, its huge spreading made users vulnerable to all types of cyber attacks that can performed behind websites. Many recent researches were proposed to detect malicious content. in this work we propose a chrome extension to defeat the majority types of malicious web content by analyzing HTTP requests and responses. The extension is based on a relevant list of malicious features geared with a machine learning classifier also it integrated Google safe browsing for more protection. The obtained experimental results demonstrate the effectiveness of our extension on detecting the malicious content which proved by the perfect result scored on several classifiers with 100% accuracy