reviewJournal Of Big DataAug 4, 2024GOLD OA

Advancing cybersecurity: a comprehensive review of AI-driven detection techniques

AHAya H. SalemSMSafaa M. AzzamOEO. E. EmamAAAmr A. Abohany

Helwan University · Kafrelsheikh University

Indexed incrossrefdoaj

Abstract

Abstract As the number and cleverness of cyber-attacks keep increasing rapidly, it's more important than ever to have good ways to detect and prevent them. Recognizing cyber threats quickly and accurately is crucial because they can cause severe damage to individuals and businesses. This paper takes a close look at how we can use artificial intelligence (AI), including machine learning (ML) and deep learning (DL), alongside metaheuristic algorithms to detect cyber-attacks better. We've thoroughly examined over sixty recent studies to measure how effective these AI tools are at identifying and fighting a wide range of cyber threats. Our research includes a diverse array of cyberattacks such as malware attacks,…

Citation impact

209
total citations
FWCI
66.94
Percentile
100%
References
112
Citations per year

Authors

4

Topics & keywords

Keywords
  • Computer science
  • Cyber threats
  • Malware
  • Computer security
  • Artificial intelligence
  • Cyberwarfare
  • Metaheuristic
  • Machine learning
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
No related works found for this paper.

Funding