Optimized XSS Vulnerability Scanner Approach

dc.contributor.authorBOULANOUAR, SOUHIL LARBI
dc.date.accessioned2018-02-08T07:27:49Z
dc.date.available2018-02-08T07:27:49Z
dc.date.issued2016
dc.description.abstractThe Web applications are becoming more popular with the advancement of technology. However, the web security is becoming one of the most common security issues. This report focuses on the XSS vulnerabilities which commonly present in most Web applications and can create serious security problems. In our work, we propose a black box detection approach using optimal attack vector. This method generates an attack vector automatically, optimizes the attack vector repertory using a mutation operator model, and detects XSS vulnerabilities in web applications dynamically.en_US
dc.identifier.urihttp://dspace.univ-msila.dz:8080//xmlui/handle/123456789/2601
dc.language.isoenen_US
dc.publisherUniversité de M'silaen_US
dc.subjectXSS vulnerability detection, attack vector optimization, black box scanner, XSS vulnerability scanner.en_US
dc.titleOptimized XSS Vulnerability Scanner Approachen_US
dc.typeThesisen_US

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