Artificial Intelligence Applications in Cybersecurity

Document Type

Book Chapter

Source of Publication

Advances in Computer and Electrical Engineering

Publication Date

1-1-2023

Abstract

For the past decades, cyber threats have been increasing significantly and are designed in a sophisticated way that is tough to detect using traditional protection tools. As a result, privacy and sensitive personal information such as credit card numbers are being continuously compromised. Therefore, it is time to find a solution that can stand against the spreading of such threats. Artificial intelligence, machine learning, and deep learning could be among the top methods of detecting cyber threats. These methods could help to improve the detection technologies and engines for computer network defense. This chapter mainly focuses on artificial intelligence in cybersecurity. The main goal of this chapter is to highlight the drawbacks of the traditional security protection tools and discuss the improvements that has been made so far by applying artificial intelligence to solve the current cybersecurity problems.

ISBN

9781668469378, 9781668469392

ISSN

2327-0403

Publisher

IGI Global

First Page

179

Last Page

205

Disciplines

Computer Sciences

Keywords

Artificial intelligence, cybersecurity, machine learning, threat detection, intrusion detection

Indexed in Scopus

no

Open Access

no

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