ICETETI-2024 | View PDF
Paper Id:ICETETI-MSM137
doi: 10.71141/30485037/ICETETI-MSM137
AI-Driven Backup Strategies: Optimizing Security and Ensuring Data Integrity in Cloud Environments
Oliver Zhang, Syed Ali Fathima
Citation:
Oliver Zhang, Syed Ali Fathima, "AI-Driven Backup Strategies: Optimizing Security and Ensuring Data Integrity in Cloud Environments", International Journal of Multidisciplinary on Science and Management, pp. 268-273, 2024.
Abstract:
Data security and integrity are critical concerns in cloud computing. Traditional backup strategies are increasingly being replaced by AI-driven solutions that enhance efficiency, security, and resilience. This paper explores AI-driven backup strategies, examining their role in optimizing security and ensuring data integrity. AI-based techniques such as predictive analytics, anomaly detection, and automated restoration reduce downtime and mitigate risks associated with data loss. Additionally, AI enhances encryption, access control, and compliance monitoring. This paper presents a comprehensive cost-benefit analysis, evaluates different AI-driven backup architectures, and highlights future research directions.
Keywords:
Backup Security, Multi-Layered Encryption, Role-Based Access Control, Real-Time Threat Analysis, Cybersecurity, Data Integrity, Data Breach Prevention.
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