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العنوان
Spam Detection on Social Networks
المؤلف
Mohamed Mostafa Elsaied Abd Elaziz
هيئة الاعداد
باحث / محمد مصطفي السيد عبد العزيز
مشرف / حاتم محمد سيد أحمد
مناقش / أميرة عبد الوهاب
مناقش / أشرف السيسي
الموضوع
spam detection social network
تاريخ النشر
2020
عدد الصفحات
79 p.
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Computer Science Applications
تاريخ الإجازة
24/10/2020
مكان الإجازة
جامعة المنوفية - كلية الحاسبات والمعلومات - قسم نظم المعلومات
الفهرس
Only 14 pages are availabe for public view

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Abstract

The social network is considered part of most user’s life, as it contains more than a
billion users. This huge number of users makes it a source for spammers to spread their
harmful activities. The users can be redirected through harmful links to steal their secret
credentials or their payment cards. Besides, spammers can spread rumors about famous
actors to reduce their popularity, which happens in the presidential elections of some global
countries. Another important thing, the spammers are very smart while a lot of researchers
try to detect them, these spammers try to defeat all detection techniques to do its work.
That in August of 2019, Twitter uncovered 7% of its month to month dynamic clients
which rise to roughly 23 million clients have automatically requested their servers for
ordinary updates. All these challenges make developing new techniques and algorithms is
an essential task to tackle as possible as of these challenges