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  1. Home
  2. Browse by Author

Browsing by Author "BOULANOUAR, SOUHIL LARBI"

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    ItemOpen Access
    Optimizéd XSS Vulnerability Scanner Approach
    (University of M'sila, 2016-06-10) BOULANOUAR, SOUHIL LARBI; Supervisor: SAOUDI, LALIA
    The 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.
  • Loading...
    Thumbnail Image
    ItemOpen Access
    Optimized XSS Vulnerability Scanner Approach
    (Université de M'sila, 2016) BOULANOUAR, SOUHIL LARBI
    The 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.

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