A Review of Machine Learning Methods Applied for Handling Zero-Day Attacks in the Cloud Environment

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Author(s): Swathy Akshaya M. (Avinashilingam Institute for Home Science and Higher Education for Women, India)and Padmavathi Ganapathi (Avinashilingam Institute for Home Science and Higher Education for Women, India)
Copyright: 2022
Pages: 24
Source title: Research Anthology on Machine Learning Techniques, Methods, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-6291-1.ch050

Keywords: Artificial Intelligence / Engineering Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

Cloud computing is an emerging technological paradigm that provides a flexible, scalable, and reliable infrastructure and services for organizations. Services of cloud computing is based on sharing; thus, it is open for attacker to attack on its security. The main thing that grabs the organizations to adapt the cloud computing technology is cost reduction through optimized and efficient computing, but there are various vulnerabilities and threats in cloud computing that affect its security. Providing security in such a system is a major concern as it uses public network to transmit data to a remote server. Therefore, the biggest problem of cloud computing system is its security. The objective of the chapter is to review Machine learning methods that are applied to handle zero-day attacks in a cloud environment.

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A Review of Machine Learning Methods Applied for Handling Zero-Day Attacks in the Cloud Environment

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