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@article{177503,
        author = {GAUTHAMAN.S and DR. SEETHA.J and ADITHYA.A and ROBERT JAYA SOLOMON.J},
        title = {Rhya – AI – Driven Digital Forensic Investigation For Automated  Evidence Analysis And Cybercrime Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2344-2351},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177503},
        abstract = {Digital forensics is an essential part of contemporary cybersecurity investigations, necessitating sophisticated tools for effective evidence analysis. RHYA is an artificial intelligence-based digital forensic investigation tool that aims to automate the analysis of disk images, restore deleted files, examine registry information, conduct specific file searches, and check disk image integrity. The Evidence Listing module lists extracted directories and files, offering metadata and filtering capabilities for organized analysis. File Carving allows deleted and fragmented files to be recovered through the detection of file signatures, guaranteeing key evidence recovery. The Registry Browser provides in-depth examination of Windows registry artifacts such as user activity logs, startup applications, and USB device history. File Search provides investigators with the ability to search efficiently for active, hidden, or deleted files using sophisticated filters and metadata extraction. Image Verification maintains forensic integrity through cryptographic hash generation for verification of disk images, protection from tampering or corruption. RHYA facilitates forensic effectiveness through automated extraction, reconstruction, and verification procedures with maintenance of the chain of custody. It empowers forensic investigators with an organized, high-speed environment for analysis of digital evidence to assist in legal procedures and cybercrime investigations.},
        keywords = {Digital Forensics, Listing of Evidence, File Carving, Registry Analysis, File Search, Image Verification, Data Integrity, Cybercrime Investigation, AI-Driven Forensics, Forensic Automation.},
        month = {May},
        }