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Cyber Security in the Cloud: Harnessing the Power of Machine Learning and Cloud Cryptography
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Author(s): Nahida Majeed Wani (Department of Mathematics, Amity University, Gwalior, India)and Ajay Verma (School of Applied Sciences and Languages, VIT Bhopal University, India)
Copyright: 2024
Pages: 19
Source title:
Driving Decentralization and Disruption With Digital Technologies
Source Author(s)/Editor(s): Balraj Verma (Chitkara Business School, Chitkara University, India), Babita Singla (Chitkara Business School, Chitkara University, India)and Amit Mittal (Chitkara Business School, Chitkara University, India)
DOI: 10.4018/979-8-3693-3253-5.ch015
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Abstract
In an era defined by digital interconnectivity, securing information in the cloud is paramount. By harnessing the power of present advanced technologies, organizations can fortify their defenses against evolving cyber threats while simultaneously embracing environmentally conscious practices. The model begins by integrating machine learning (ML) algorithms into fabric of cyber security. Anomaly detection, threat prediction, and adaptive response mechanisms enable a proactive defense, continually evolving to thwart emerging threats. Beyond the realm of cyber security efficacy, ML optimizes resource utilization, contributing to the sustainability of cloud operations. Complementing this adaptive intelligence, cloud cryptography emerges as a cornerstone for securing data at rest and in transit. From traditional encryption to quantum-resistant cryptographic techniques, the model ensures confidentiality and integrity of information. Sustainable cryptographic practices, coupled with efficient key management, further mitigate the environmental impact associated with cryptographic operations.
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