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@article{184909,
        author = {Anuvidh KC and Aswin Sushil and Athul P and Viswajith Vinod and Subhaga K},
        title = {A Literature Survey On USB Port Security Mechanism And Malware Detection.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {4516-4520},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184909},
        abstract = {Universal Serial Bus (USB) devices and Internet of Things (IoT) systems have become integral to modern computing, but they also present a broad attack surface for adversaries. Prior research demonstrates critical vulnerabilities ranging from power side-channel leakage and device fingerprinting, to malware propagation through removable storage and injection attacks via malicious peripherals such as the USB Rubber Ducky. To address these threats, several defense mechanisms have been proposed, including honeypot-based detection of USB-borne malware, in- trusion prevention systems for identifying rogue devices, AI- driven malware analysis using federated and deep learning, and hardware-assisted IoT authentication schemes such as security keys and physical locks. While these solutions highlight notable advances in detection and mitigation, challenges remain in achieving scalability, robustness against adaptive adversaries, and seamless integration across heterogeneous USB and IoT environments. Consequently, there is a pressing need for an intelligent, unified security framework that combines anomaly detection, proactive defenses, and access control to provide resilient protection for next-generation USB and IoT ecosystems.},
        keywords = {USB Security, Side-Channel Attacks, Malicious Peripherals, IoT Authentication, Malware Detection, Honeypots, Deep Learning, Federated Learning, Intrusion Detection, Proac- tive Defense.},
        month = {October},
        }