Bio-inspired algorithm for security in Twitter case of image data

الموضوعات

إحصاء

الملخص

In our time, the amount of information and tweets are increasing on Twitter. Unfortunately, wefound that Twitter is a popular place for spammers, which share unwanted messages that may contain malicious software, advertisements, or links that contain malicious sites. As a means of avoidingtext-based filters, spammers inject spam text onto images, a process known as image spam. so. Howcan we detect these images and know the unwanted messages from it? What are the possible algorithms to detect it ? This is what we will address in this research. In our thesis, we introduce SomeLearning techniques used to classify images as spam or ham and bio-inspired algorithm which used tooptimize the problem, at the experimental level we design convolutional neural network architecturesusing the particle swarm optimization algorithm in order to find the optimal network architecture ofconvolutional neural networks

روابط وملفات

التعريف والنوع

رقم الوثيقة

0cd54e45-e0ba-4b26-bd5a-18250fb1e30e

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

ماستر (LMD)

نوع الملف

pdf text

أسماء الملفات

2199771_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"باحمد ديدجيل","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"بوهاني عبدالقادر","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"ناصر بوال","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

English

المصدر والدورية

اسم المصدر

Bio-inspired algorithm for security in Twitter case of image data

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

Learning techniques, Bio-inspired algorithm, Convolutional neural network, Particle swarm optimization

إشراف وإعداد

الإشراف

بوهاني عبدالقادر

الإعداد

باحمد ديدجيل, ناصر بوال

الاقتباسات الببليوغرافية