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Network Security: Artiffical Intelligence method for Attack Detection (Survey Study)

عنوان مقاله: Network Security: Artiffical Intelligence method for Attack Detection (Survey Study)
شناسه ملی مقاله: CEITCONF03_069
منتشر شده در سومین کنفرانس ملی کامپیوتر، فناوری اطلاعات و کاربردهای هوش مصنوعی در سال 1398
مشخصات نویسندگان مقاله:

Seyyed Rohollah Mirhoseini - Ph.D Student Computer Department Islamic Azad University North Tehran branch Tehran, Iran
Behrouz Minaei-Bidgoli - Associate Professor Computer Department Iran University of Science and Technology Tehran, Iran

خلاصه مقاله:
Today more than 4.39 billion internet users that 3.26 billion people use social media on mobile devices are in the world. Network security is one of the most important aspects to consider when working over the internet, LAN or other methods, no matter how small or big your business is. Then Network security is important. We know that artificial intelligence technologies are problems solver and these methods used in security. In this article, we believe present Attacks and artificial intelligence methods such as supervised learning, unsupervised learning and reinforcement learning. We present AI solutions such as Neural Networks, Machine Learning (ML), Support Vector Machine(SVM), decision tree, Hidden Markov Model (HMM), Hierarchical Clustering, Game Theory (GT), and Natural Language Processing (NLP). Then a review of used this AI method in attack detection

کلمات کلیدی:
Network security, Neural Networks, Machine Learning (ML), Support Vector Machine (SVM), decision tree, Hidden Markov Model (HMM), Hierarchical Clustering, GameTheory (GT), Natural Language Processing (NLP) and Deep Learning.)

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1015614/