Abstract
Machine learning has become an imperative innovation for cybersecurity. It preemptively gets rid of digital dangers and supports security foundation utilizing different methods. Machine learning, a branch of artificial intelligence, utilizes formulas constructed from historical databases and observable analysis to create presumptions regarding the actions of a machine. The machine would then be able to alter its activities—and even perform capacities for which it hasn’t been unequivocally modified. With its capacity to figure out a huge number of records and distinguish conceivably risky ones, machine learning is progressively being utilized to reveal dangers and naturally squash them before they can unleash ruin. Looking at the numerous benefits, this chapter tries to explore the various forms of cyberattacks and the application of Machine Learning in handling these attacks and thereby increasing cyber security. The chapter then evaluates the various techniques of Machine Learning and how organizations could take advantage of these techniques. In the last, it addresses Machine Learning's potential opportunities for cyber security.
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Gupta, A., Gupta, R., Kukreja, G. (2021). Cyber Security Using Machine Learning: Techniques and Business Applications. In: Hamdan, A., Hassanien, A.E., Khamis, R., Alareeni, B., Razzaque, A., Awwad, B. (eds) Applications of Artificial Intelligence in Business, Education and Healthcare . Studies in Computational Intelligence, vol 954. Springer, Cham. https://doi.org/10.1007/978-3-030-72080-3_21
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