The role of artificial intelligence and machine learning in wireless networks security: Principle, practice and challenges
Document Type
Journal Article
Publication Title
Artificial Intelligence Review
Publisher
Springer
School
School of Engineering
RAS ID
44312
Abstract
Security is one of the biggest challenges concerning networks and communications. The problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence (AI) has emerged as a promising solution and a volume of literature exists on the methodological studies of AI to resolve the security challenge. In this survey, we present a taxonomy of security threats and review distinct aspects and the potential of AI to resolve the challenge. To the best of our knowledge, this is the first comprehensive survey to review the AI solutions for all possible security types and threats. We also present the lessons learned from the existing AI techniques and contributions of up-to-date literature, future directions of AI in security, open issues that need to be investigated further through AI, and discuss how AI can be more effectively used to overcome the upcoming advanced security threats.
DOI
10.1007/s10462-022-10143-2
Access Rights
subscription content
Comments
Waqas, M., Tu, S., Halim, Z., Rehman, S. U., Abbas, G., & Abbas, Z. H. (2022). The role of artificial intelligence and machine learning in wireless networks security: Principle, practice and challenges. Artificial Intelligence Review, 55, 5215-5261.
https://doi.org/10.1007/s10462-022-10143-2