PRIVACY-PRESERVING AI MODELS FOR CLOUD AND EDGE COMPUTING SECURITY

Alejandra, Rodríguez and Elena, Popescu (2025) PRIVACY-PRESERVING AI MODELS FOR CLOUD AND EDGE COMPUTING SECURITY. Synergy: Cross-Disciplinary Journal of Digital Investigation, 3 (3). pp. 1-19. ISSN 2995-4827

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Abstract

The rapid adoption of cloud and edge computing has revolutionized modern digital infrastructure, enabling seamless data processing and real-time analytics. However, this shift has also introduced significant security and privacy challenges, particularly concerning the exposure of sensitive data to potential cyber threats. Traditional security frameworks often fail to provide adequate protection in distributed environments, necessitating the development of privacy-preserving AI models to safeguard critical information while maintaining computational efficiency.

Item Type:	Article
Subjects:	Q Science > Q Science (General)
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	12 Mar 2025 06:50
Last Modified:	12 Mar 2025 06:50
URI:	http://eprints.umsida.ac.id/id/eprint/15821

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