Network Security: Artiffical Intelligence method for Attack Detection (Survey Study)
Publish place: 3rd national conference on Computer, Information Technology and Artificial Intelligence
Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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این Paper در بخشهای موضوعی زیر دسته بندی شده است:
- هوش مصنوعی > یادگیری ماشین
- هوش مصنوعی > درخت تصمیم
- هوش مصنوعی > یادگیری عمیق
- هوش مصنوعی > پردازش زبان طبیعی
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
CEITCONF03_069
تاریخ نمایه سازی: 6 خرداد 1399
Abstract:
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
Keywords:
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.)
Authors
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