Research Study on Machine Learning Algorithms for Achieving Cyber Security
Machine learning methods have been applied in various parts of technology because of these unique properties
like compliance, scalability, and possibility to rapidly attune to new and unfamiliar challenges. Cyber security has grown
swiftly with demand. This field is challenging with a huge need of attention because of extraordinary progresses in social
networks, cloud and web technologies, online and mobile transactions, smart grid, etc. Various machine learning procedures
have been efficaciously implemented to address such extensive problems in computer security. This paper discusses and
focuses on various applications of machine learning in cyber security. This study is of social network, smart meter energy
consumption profiling, and problems in security of machine learning methods itself. The descriptions that are included are
phishing detection, network intrusion detection, testing security properties of protocols, authentication with keystroke
dynamics, cryptography, human interaction proofs, spam detection.
Keywords - Security, Machine Learning, Survey.