A Review on Machine Learning Applications in Cyber security
DOI:
https://doi.org/10.48047/Keywords:
machine learning, cyber security, neural networks, security, malware detection, threat intelligenceAbstract
The intersection of device mastering (ML) and cyber security has witnessed big increase and
innovation in recent years. This assessment paper navigates via the evolving landscape of ML
applications inside the realm of cyber security, addressing key areas inclusive of intrusion
detection systems, malware detection, behavioural analysis, person authentication, chance
intelligence, and predictive evaluation. By synthesizing recent research findings, the paper
ambitions to offer a comprehensive know-how of the present day country of ML in cyber
security. Additionally, it explores challenges faced by means of researchers and practitioners in
this dynamic subject and proposes capacity avenues for future exploration. As cyber threats end
up extra sophisticated, the integration of ML technologies will become increasingly vital for
enhancing the safety posture of digital systems.
