The Adoption of Artificial Intelligence in Different Network Security Concepts

TL;DR

This paper reviews how artificial intelligence techniques are increasingly adopted in various network security areas such as authentication, encryption, and intrusion detection to improve effectiveness and reduce complexity.

Contribution

It provides a comprehensive overview of recent AI methods applied in network security, highlighting their roles and effectiveness in different security concepts.

Findings

AI enhances security system automation and reliability.

AI techniques improve encryption and intrusion detection efficiency.

Recent studies demonstrate AI's growing impact on network security.

Abstract

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 the 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 aim of the study is to present and discuss the most prominent methods of artificial intelligence recently used in the field of network security including user authentication, Key exchanging, encryption/decryption, data integrity and intrusion detection system.