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@article{199409,
        author = {Y. P. Rakshith and N VISHNU VENKATESH},
        title = {BLE Smart Devices Security Framework: A Protocol-Driven Plug-in Module for IoT Forensic Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {12842-12868},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199409},
        abstract = {The rapid proliferation of Internet of Things (IoT) devices has introduced significant challenges in the domain of digital forensics, particularly concerning Bluetooth Low Energy (BLE) and Wi-Fi enabled smart devices. Traditional forensic approaches, largely reliant on post-incident flash memory extraction, are increasingly ineffective against volatile data and encrypted wireless communications. This paper presents the BLE Smart Devices Security Framework (BSDSF)—a Protocol-Driven Plug-in Module designed as a custom firmware-based security framework deployed on the ESP32 microcontroller. The framework isolates, simulates, and captures BLE and Wi-Fi protocol-level artifacts in a controlled forensic testbed environment. By programming the ESP32 to advertise a defined Bluetooth identity and connect to a designated Wi-Fi network, the framework successfully generated and documented forensic evidence including device MAC addresses, Bluetooth pairing requests, SSID logs, and precise session timestamps. The study establishes the feasibility of proactive, protocol-level artifact acquisition as a reliable methodology for IoT forensic investigations, addresses existing research gaps in volatile RAM acquisition and multi-protocol evidence correlation, and proposes future directions including automated parsing tools and cross-device evidence linking. The framework contributes to the growing body of work on endpoint security for smart homes and IoT-driven security solutions, providing investigators with a reproducible methodology for wireless artifact acquisition in resource-constrained environments.},
        keywords = {Bluetooth Low Energy (BLE), IoT Forensics, ESP32, Protocol-Driven Framework, Wireless Artifact Acquisition, Digital Forensics, Wi-Fi Evidence, BSDSF, Smart Device Security},
        month = {April},
        }