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Real Time Data Backup System Using AI
Subject area: Science,Engineering and Technology · Area of research: AI and Machine Learning
Abstract
The Real-Time Data Backup System offers a cutting-edge solution for protecting data by actively monitoring the Windows Recycle Bin. This system ensures that deleted files are instantly backed up to a designated USB drive, preventing the risk of permanent data loss. Beyond its core function of file backup, it introduces two advanced AI-powered features designed to enhance its performance and security. The first feature, Anomaly Detection, focuses on identifying unusual patterns in file deletions. By detecting unexpected or suspicious deletions, this functionality helps safeguard against potential threats like malware attacks or accidental deletions, providing an additional layer of protection. The second feature, Automated Backup Optimization, adapts to user behavior and system performance to improve backup efficiency. Rather than relying on fixed backup schedules, the system dynamically adjusts based on how often files are deleted and the overall health of the system. This ensures that backups occur at the optimal frequency, balancing data security with minimal system resource consumption. Together, these AI-driven enhancements make the Real-Time Data Backup System a highly intelligent, reliable, and efficient tool for ensuring data safety in both personal and professional environments. It represents a new era of smarter data protection, combining real-time backups with intelligent optimization for unparalleled peace of mind.
Keywords
Anomaly Detection, File Deletions, Malware Protection, Backup Optimization, User Behavior, System Performance, AI-Driven Security, Data Protection, Accidental Deletions, Resource Management, Backup Efficiency.
How to cite this paper
@article{1707933,
author = {Rohit Sabale, Avinash Pingale, Amit Shinde, Rohan Chakor, Prof. Vaibhav Dhage},
title = {Real Time Data Backup System Using AI},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {10},
pages = {758-765},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1707933.pdf},
abstract = {The Real-Time Data Backup System offers a cutting-edge solution for protecting data by actively monitoring the Windows Recycle Bin. This system ensures that deleted files are instantly backed up to a designated USB drive, preventing the risk of permanent data loss. Beyond its core function of file backup, it introduces two advanced AI-powered features designed to enhance its performance and security. The first feature, Anomaly Detection, focuses on identifying unusual patterns in file deletions. By detecting unexpected or suspicious deletions, this functionality helps safeguard against potential threats like malware attacks or accidental deletions, providing an additional layer of protection. The second feature, Automated Backup Optimization, adapts to user behavior and system performance to improve backup efficiency. Rather than relying on fixed backup schedules, the system dynamically adjusts based on how often files are deleted and the overall health of the system. This ensures that backups occur at the optimal frequency, balancing data security with minimal system resource consumption. Together, these AI-driven enhancements make the Real-Time Data Backup System a highly intelligent, reliable, and efficient tool for ensuring data safety in both personal and professional environments. It represents a new era of smarter data protection, combining real-time backups with intelligent optimization for unparalleled peace of mind.},
keywords = {Anomaly Detection, File Deletions, Malware Protection, Backup Optimization, User Behavior, System Performance, AI-Driven Security, Data Protection, Accidental Deletions, Resource Management, Backup Efficiency.},
month = {April},
}