International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

An AI-Driven Solution for Securing USB Drives Against Malware Injection and Data Exfiltration

Author(s) Ms. Dharshini N, Ms. Kanishka M, Mr. Bhuvanesh S, Ms. Vidhiya S
Country India
Abstract Removable storage media, particularly USB drives, are highly convenient for sharing and archiving information but have also become frequent carriers of cyberattacks. Adversaries often exploit these devices to inject harmful code or secretly extract confidential data, creating serious risks for both individuals and enterprises. To counter these challenges, this work proposes a next-generation security framework that employs artificial intelligence for continuous monitoring and defense. The approach utilizes deep learning models capable of learning USB access behaviors and distinguishing between safe and suspicious activity. A lightweight desktop application further enforces security by limiting unauthorized actions and providing instant notifications when irregular patterns are detected.
Beyond identifying malware, the framework ensures resilience through integrated backup and privacy-preserving mechanisms. Sensitive data is encrypted and masked before storage, which maintains confidentiality even if compromise occurs. Experimental evaluation confirms that the system can detect infected devices with high accuracy and block data exfiltration attempts while maintaining low overhead on system resources.The solution delivers a proactive, adaptive, and scalable defense model that strengthens endpoint security using intelligent automation. Future enhancements will include enlarging the training dataset, applying more advanced neural models, and enabling seamless integration within enterprise networks for real-time cyber-threat mitigation.
Keywords Removable Media Security, Intelligent Malware Detection, USB Threat Defense, AI-Based Protection, Deep Neural Models, Data Privacy, Automated Endpoint Security.
Field Computer > Network / Security
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-28

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