A review on machine learning techniques for network security
Rashid Nazir, Asif Ali Laghari, Fida Hussain Dahri, Shoulin Yin, Zaineb M. Alhakeem, Heba Hakim, Zeeshan Mughal
Abstract
Network security encompasses the strategies and techniques to protect networks from unauthorized access and potential threats. Network security is essential to protect layers of networks and data transferring on them. Data integrity and the underlying network infrastructure are necessary in today’s digital landscape. This paper explores the role of machine learning (ML) in enhancing network security by developing intelligent tools and methodologies. We critically analyze various ML techniques utilized in this field, their practical applications, and the advancements achieved in fortifying networks against cyber threats. We address ML’s challenges and limitations in network security, concluding with a discussion of open research issues for future investigation.