Server Side Approach Based on Features Extraction to Detect XSS Attacks

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Cross-site scripting (XSS) attacks are presently the most exploited security problems in modernWeb applications that can be exploited by injecting JavaScript code. By now there have been avariety of defensive techniques to protect web application from XSS injection attack, but XSS stillcannot be totally detected, an attacker can circumvent the technique by injecting legitimateJavaScript, because it is difficult to distinguish from the original script.In this project, we developed an approach based on scripts features analyzing, which permitdetection of wide range of injected scripts: malicious script or specific script which is similar tobenign script, without any modification of application source code.We evaluate our approach with three programs. The evaluation results indicate that ourapproach detects a wide range of code injection attacks.

روابط وملفات

التعريف والنوع

رقم الوثيقة

ff0b3fe8-4b99-4ffb-abc7-cf55c904accd

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

ماستر (LMD)

نوع الملف

pdf text

أسماء الملفات

191673_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Lalia Saoudi ","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Sarah Ammiche","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

English

المصدر والدورية

اسم المصدر

Server Side Approach Based on Features Extraction to Detect XSS Attacks

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

Lalia Saoudi

الإعداد

Sarah Ammiche

الاقتباسات الببليوغرافية