Abstract
The variety and volume of cyber-attacks have exponentially increased over the years. This calls for a strong security defense mechanism against the attacks. This paper discusses the advancements made in the field of cyber-security using various machine learning techniques. We review some of the common machine learning techniques used in cyber-security and also discuss the issues related to cyber-security. Overall, we focus on exploring the idea of a combination of deep learning, machine learning and human supervision.
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Sharma, A., Das, P.A., Ijaz, M.F., Rana, A.u.H.S. (2022). Machine Learning Capability in the Detection of Malicious Agents. In: Dhar, S., Mukhopadhyay, S.C., Sur, S.N., Liu, CM. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 776. Springer, Singapore. https://doi.org/10.1007/978-981-16-2911-2_26
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DOI: https://doi.org/10.1007/978-981-16-2911-2_26
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