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Applications of Machine Learning in Cyber Security Domain

Sailesh Iyer, Sridaran Rajagopal

Year
2019
Citations
11

Abstract

Knowledge revolution is transforming the globe from traditional society to a technology-driven society. Online transactions have compounded, exposing the world to a new demon called cybercrime. Human beings are being replaced by devices and robots, leading to artificial intelligence. Robotics, image processing, machine vision, and machine learning are changing the lifestyle of citizens. Machine learning contains algorithms which are capable of learning from historical occurrences. This chapter discusses the concept of machine learning, cyber security, cybercrime, and applications of machine learning in cyber security domain. Malware detection and network intrusion are a few areas where machine learning and deep learning can be applied. The authors have also elaborated on the research advancements and challenges in machine learning related to cyber security. The last section of this chapter lists the future trends and directions in machine learning and cyber security.

Keywords

Artificial intelligenceCybercrimeMachine learningComputer scienceComputer securityDomain (mathematical analysis)MalwareEngineeringThe InternetWorld Wide Web

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