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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM51209
Volume:
9 |
7 |
Jul 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
AI-powered digital footprint recovery is an advanced technology that helps individuals and organizations regain control over their online presence by tracking, analyzing, and managing their digital traces. It utilizes artificial intelligence, machine learning, and data mining to identify scattered digital footprints across social media, websites, and online databases. This process involves recovering lost or forgotten accounts, removing or modifying sensitive data, and mitigating cyber security risks. AI algorithms can detect unauthorized data leaks, protect personal and corporate identities, and enhance digital privacy. By automating the retrieval and deletion of online information, AI ensures better compliance with data protection laws like GDPR. It also helps in restoring compromised accounts, tracking online activities, and predicting potential security threats. Digital footprint recovery is essential for individuals seeking to erase embarrassing or outdated content and for businesses aiming to protect their brand reputation. AI-driven tools analyze vast datasets quickly, providing efficient and accurate results. These systems use natural language processing and pattern recognition to locate and classify digital records. Additionally, they assist in fraud detection, cybercrime investigations, and ethical hacking. By leveraging AI, users can regain control over their online identities and secure their personal information. The technology also benefits law enforcement in tracking illegal activities and retrieving critical evidence. AI-powered solutions enhance cyber security strategies, reducing digital vulnerabilities. With the increasing digitalization of daily life, digital footprint recovery is becoming a vital tool for personal and professional data management.
KEYWORDS
Publication Date
5/6/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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