A Survey of Artificial Intelligence Techniques for Cybersecurity Improvement

• Published in: International journal of cyber-security and digital forensics Vol. 9; no. 1; pp. 34 - 41
• Main Author: Alrajhi, Athari M
• Format: Journal Article
• Language: English
• Published: The Society of Digital Information and Wireless Communications 01.01.2020
• Subjects: Artificial intelligence; Cyberterrorism; Data security; Detectors; Internet; Methods; Safety and security measures; Security software; Security systems; Surveys
• ISSN: 2305-0012; 2305-0012
• DOI: 10.17781/P002650

In the last years, cybersecurity has become the most important issue. Many researchers have investigated the development of cybersecurity tools, and several solutions have proposed to protect computer systems from attacks. However, the old traditional ways can no longer be relied upon. This paper introduces the need for the development of cybersecurity skills in an innovative way and how artificial intelligence can be implied to improve many security systems such as intrusion detection systems. A lot of companies around the world adopt AI techniques to enhance their systems safety and to optimize nearly everything. Then, it comes to no surprise that AI is radically transforming cybersecurity. In this paper, the advanced cybersecurity solutions driven by artificial intelligence for improving intrusion detection systems are discussed, as well as an explanation of the advantages and the disadvantages of existing methods. Furthermore, some promising future research directions are introduced. KEYWORDS Artificial Intelligence, Cybersecurity, Security, Intrusion Detection, Attacks, Threats, AI.