Artificial Intelligence Applications in Cybersecurity
Source of Publication
Advances in Computer and Electrical Engineering
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.
Artificial intelligence, cybersecurity, machine learning, threat detection, intrusion detection
Abrham, Tesfahiwet; Kaddoura, Sanaa; and Al Breiki, Hamda, "Artificial Intelligence Applications in Cybersecurity" (2023). All Works. 5746.
Indexed in Scopus