Machine Learning and Deep Learning Approaches for CyberSecurity: A Review

نویسندگان

چکیده

The rapid evolution and growth of the internet through last decades led to more concern about cyber-attacks that are continuously increasing changing. As a result, an effective intrusion detection system was required protect data, discovery artificial intelligence’s sub-fields, machine learning, deep one most successful ways address this problem. This paper reviewed systems discussed what types learning algorithms using data from malicious behavior. It discusses recent work with various network implementations, applications, algorithms, approaches, datasets develop operational system.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2022

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2022.3151248