ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
Low Cost₹1501 / $59
CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
USBGuard-AI: An Intelligent Real-Time USB Forensic Monitoring and Risk Detection Framework for Digital Evidence Analysis
Authors
Riya Pathak , Rutuja Gurav
Keywords
USB Forensics, Digital Forensic Investigation, Real-Time USB Monitoring, AI-Assisted Risk Classification, Chain of Custody, Cryptographic Hashing, Forensic Reporting
Abstract
Removable storage devices such as USB drives remain a significant vector for malware propagation, insider threats, and unauthorized data exfiltration. Despite their widespread use, many existing forensic tools primarily support post-incident analysis and provide limited visibility into real-time USB activity. This paper presents USBGuard-AI, an AI-enabled forensic monitoring and risk detection framework designed to detect, analyze, and document USB device activities in real time while preserving evidentiary integrity. The proposed system integrates real-time USB detection, forensic session management, cryptographic hash-based integrity verification, activity timeline reconstruction, and AI-assisted risk classification. Additionally, a keyword intelligence mechanism is incorporated to identify sensitive information across multiple categories. The system also supports USB history tracking, limited deleted file recovery, and structured forensic report generation for investigative and legal purposes. Experimental evaluation demonstrates that USBGuard-AI achieves high accuracy in detecting suspicious files while maintaining reliable chain-of-custody records. The framework bridges the gap between traditional security monitoring tools and forensic intelligence systems, enhancing the effectiveness of digital investigations.
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How To Cite
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IJCRT — journal style
"USBGuard-AI: An Intelligent Real-Time USB Forensic Monitoring and Risk Detection Framework for Digital Evidence Analysis", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.d40-d48, April 2026, Available :https://ijcrt.org/papers/IJCRT2604363.pdf
APA — 7th edition
Pathak, R., & Gurav, R. (2026). USBGuard-AI: An Intelligent Real-Time USB Forensic Monitoring and Risk Detection Framework for Digital Evidence Analysis. International Journal of Creative Research Thoughts, 14(4), d40-d48. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604363
MLA — 9th edition
Pathak, Riya, and Rutuja Gurav. "USBGuard-AI: An Intelligent Real-Time USB Forensic Monitoring and Risk Detection Framework for Digital Evidence Analysis." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. d40-d48, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604363.
Chicago — 17th, bibliography
Pathak, Riya, and Rutuja Gurav. "USBGuard-AI: An Intelligent Real-Time USB Forensic Monitoring and Risk Detection Framework for Digital Evidence Analysis." International Journal of Creative Research Thoughts 14, no. 4 (2026): d40-d48. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604363.
Harvard — author–date
Pathak, R. and Gurav, R. (2026) 'USBGuard-AI: An Intelligent Real-Time USB Forensic Monitoring and Risk Detection Framework for Digital Evidence Analysis', International Journal of Creative Research Thoughts, 14(4), pp. d40-d48. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604363
IEEE — numbered reference
R. Pathak and R. Gurav, "USBGuard-AI: An Intelligent Real-Time USB Forensic Monitoring and Risk Detection Framework for Digital Evidence Analysis," IJCRT, vol. 14, no. 4, pp. d40-d48, Apr. 2026.
Vancouver — biomedical
Pathak R, Gurav R. USBGuard-AI: An Intelligent Real-Time USB Forensic Monitoring and Risk Detection Framework for Digital Evidence Analysis. IJCRT. 2026 Apr;14(4):d40-d48.
AMA — 11th edition
Pathak R, Gurav R. USBGuard-AI: An Intelligent Real-Time USB Forensic Monitoring and Risk Detection Framework for Digital Evidence Analysis. IJCRT. 2026;14(4):d40-d48. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604363
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2604363,
author = {Riya Pathak and Rutuja Gurav},
title = {USBGuard-AI: An Intelligent Real-Time USB Forensic Monitoring and Risk Detection Framework for Digital Evidence Analysis},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {4},
pages = {d40-d48},
year = {2026},
month = {April},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604363}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Pathak, Riya
AU - Gurav, Rutuja
TI - USBGuard-AI: An Intelligent Real-Time USB Forensic Monitoring and Risk Detection Framework for Digital Evidence Analysis
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 4
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604363
SP - d40-d48
ER -
Issue
Volume 14 Issue 4,
April-2026
Pages : d40-d48
Article Information
- Pages
- d40-d48
- Published
- April 2026
- Registration ID
- IJCRT_305302
- Published Paper ID
- IJCRT2604363
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Mumbai, Maharashtra, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 165
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604363
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2604363.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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