ICETETI-2024 | View PDF
Paper Id:ICETETI-MSM121
doi: 10.71141/30485037/ICETETI-MSM121

AI-Based Backup Security Solutions: Detecting Anomalous Activities and Strengthening Encryption

Ryan Thomas, Syed Ali Fathima

Citation:
Ryan Thomas, Syed Ali Fathima, "AI-Based Backup Security Solutions: Detecting Anomalous Activities and Strengthening Encryption" International Journal of Multidisciplinary on Science and Management, pp. 174-179, 2024.

Abstract:
With the increasing reliance on cloud storage and digital backup solutions, cybersecurity threats have evolved, targeting stored data through ransomware attacks, unauthorized access, and data leaks. AI-based backup security solutions offer a proactive approach by detecting anomalous activities and enhancing encryption mechanisms. This paper explores AI-driven anomaly detection techniques such as machine learning (ML) and deep learning (DL) algorithms in identifying suspicious behaviors. Additionally, it evaluates encryption advancements that fortify backup security. A comparative analysis of traditional and AI-powered security models is conducted, followed by experimental results demonstrating the effectiveness of AI-based security measures. The study concludes that integrating AI into backup security frameworks significantly improves threat detection and data protection.

Keywords: AI-Based Security, Backup Protection, Anomaly Detection, Encryption Techniques, Cyber Threats, Machine Learning, Cloud Security.

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