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Enhancing Cloud Security: The Role of Artificial Intelligence and Machine Learning
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Author(s): Tarun Kumar Vashishth (IIMT University, India), Vikas Sharma (IIMT University, India), Kewal Krishan Sharma (IIMT University, India), Bhupendra Kumar (IIMT University, India), Sachin Chaudhary (IIMT University, India)and Rajneesh Panwar (IIMT University, India)
Copyright: 2024
Pages: 28
Source title:
Improving Security, Privacy, and Trust in Cloud Computing
Source Author(s)/Editor(s): Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, India), Hari Mohan Pandey (Bournemouth University, UK), Amit Singhal (Raj Kumar Goel Institute of Technology, India)and Sanyam Agarwal (ACE Group of Colleges, India)
DOI: 10.4018/979-8-3693-1431-9.ch004
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Abstract
Cloud computing has revolutionized the way organizations store, process, and manage data, offering flexibility and scalability. However, the rise in cyber threats poses significant challenges to maintaining robust cloud security. This chapter delves into the pivotal role that Artificial Intelligence (AI) and Machine Learning (ML) play in enhancing cloud security. By harnessing the capabilities of AI and ML, organizations can proactively detect, mitigate, and respond to evolving cyber threats, ultimately fortifying their cloud infrastructure.AI-driven techniques empower security systems to recognize patterns, anomalies, and potential threats within vast datasets. ML algorithms can learn from historical attack data, enabling the prediction of future threats and the development of more effective defense mechanisms. Moreover, AI-enhanced authentication and access control mechanisms bolster identity management, reducing the risk of unauthorized access and data breaches.
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