Paper Key : IRJ************337
Author: Taresh Mehra
Date Published: 06 Jan 2025
Abstract
In todays increasingly digital world, backup systems have become a cornerstone of ensuring the availability and integrity of critical business data. These systems provide essential data recovery mechanisms in the event of hardware failures, cyber-attacks, and other unexpected disruptions. Given that backup systems may house the only copies of valuable data, they have become high-priority targets for cybercriminals. This vulnerability is most evident in the rise of ransomware attacks and the growing risks posed by insider threats.Backup systems often carry sensitive and mission-critical information, making their protection paramount. Yet, despite their significance, traditional backup security mechanisms are often insufficient to defend against contemporary cyber threats. This research delves into advanced threat detection strategies, focusing on the powerful combination of Artificial Intelligence (AI), encryption, and Role-Based Access Control (RBAC). By exploring the synergy between these technologies, the study aims to propose a comprehensive framework that enhances the defense of backup systems.The core goal is to understand how AI can be used to detect anomalous behavior, how encryption protects data both in storage and during transit, and how RBAC manages access permissions to prevent unauthorized exposure. The paper also evaluates how these technologies can be integrated to form a multi-layered security model that robustly safeguards against modern cyber threats.
DOI LINK : 10.56726/IRJMETS65964 https://www.doi.org/10.56726/IRJMETS65964