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The Adoption of Artificial Intelligence in Different Network Security Concepts

Qutaiba I. Ali, Mamoon A. Al Jbaar, Adel Jalal Yousif


The obstacles of each security system combined with the increase of cyber-attacks, negatively affect the effectiveness of network security management and rise the activities to be taken by the security staff and network administrators. So, there is a growing need for automated auditing and intelligent reporting strategies for reliable network security with as less model complexity as possible. Newly, artificial intelligence has been effectively applied to various network security issues, and numerous studies have been conducted that utilize various artificial intelligence techniques for the purposes of encryption and secure communication, in addition to using artificial intelligence to perform a large number of data encryption operations in record time. The study aims to showcase and discuss the leading artificial intelligence methods currently employed in network security. This includes aspects such as user authentication, key exchange, encryption/decryption, data integrity, and intrusion detection systems.


Artificial intelligence, network security, neural networks, machine learning, encryption/ decryption, data integrity

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