Artificial Intelligence in Cybersecurity

EasyChair Preprint 14275, version 1

Abstract

This review paper examines the role of artificial intelligence (AI) in advancing cybersecurity. The text explores several AI methodologies, including machine learning, deep learning, and expert systems, and their applications in detecting risks, preventing disruptions, and ensuring data security. The analysis emphasizes the advantages of AI-driven cybersecurity solutions, such as the ability to efficiently process large amounts of data and identify patterns that indicate possible security weaknesses. Regardless, the material also discusses the limitations and ethical considerations associated with the use of AI in cybersecurity, highlighting the need for a balanced strategy that integrates technological advancement with human expertise and supervision.

Keyphrases: Artificial Intelligence (AI), Cybersecurity, Deep Learning (DL), Expert System (ES), HLCSM, IoT, Machine Learning (ML), NIST

@booklet{EasyChair:14275,
  author    = {Ghadeer Zidan Suleiman},
  title     = {Artificial Intelligence in Cybersecurity},
  howpublished = {EasyChair Preprint 14275},
  year      = {EasyChair, 2024}}