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network security: artiffical intelligence method for attack detection (survey study)
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نویسنده
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mirhoseini rohollah ,minaei-bidgoli behrouz
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منبع
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سومين كنفرانس ملي كامپيوتر،فناوري اطلاعات و كاربردهاي هوش مصنوعي - 1398 - دوره : 3 - سومین کنفرانس ملی کامپیوتر،فناوری اطلاعات و کاربردهای هوش مصنوعی - کد همایش: 98190-23419 - صفحه:0 -0
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چکیده
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Today more than 4.39 billion internet users that 3.26billion people use social media on mobile devices are in the world.network security is one of the most important aspects to considerwhen working over the internet, lan or other methods, nomatter how small or big your business is. then network securityis important. we know that artificial intelligence technologies areproblems solver and these methods used in security. in thisarticle, we believe present attacks and artificial intelligencemethods such as supervised learning, unsupervised learning andreinforcement learning. we present ai solutions such as neuralnetworks, machine learning (ml), support vector machine(svm), decision tree, hidden markov model (hmm),hierarchical clustering, game theory (gt), and naturallanguage processing (nlp). then a review of used this aimethod in attack detection.
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کلیدواژه
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network security ,neural networks ,machine learning (ml) ,support vector machine (svm) ,decision tree ,hidden markov model (hmm) ,hierarchical clustering ,game theory (gt) ,natural language processing (nlp) and deep learning.
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آدرس
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, iran, , iran
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پست الکترونیکی
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minaei@iust.ac.ir
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Authors
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