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@article{177888,
        author = {Hardik Prakash and Prakhar Shukla and Areeb ur Rub and Sambit Satpathy},
        title = {WbAES-Powered Edge Computing for Secure Healthcare IoT Data Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2888-2896},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177888},
        abstract = {This paper presents a comprehensive approach to securing data transmission in IoT-based healthcare systems through Whale-based Advanced Encryption Standard (WbAES) and edge computing integration. The research addresses the critical challenges of maintaining data privacy and security in healthcare IoT devices while ensuring efficient and reliable communication under resource constraints. We propose a novel Medical Edge Computing (MEC) framework that combines bio-inspired encryption algorithms with edge-based processing to achieve both robust security and low-latency performance. Our WbAES implementation demonstrates significant improvements in computational efficiency and energy consumption compared to traditional approaches, making it particularly suitable for resource-constrained healthcare IoT environments. Experimental results with up to 500 concurrent devices validate the system's scalability, reliability, and security characteristics.},
        keywords = {Medical Edge Computing (MEC), Whale-based AES encryption, healthcare IoT security, real-time data processing, priority-based analysis, multicast device discovery, resource constrained devices},
        month = {May},
        }