WbAES-Powered Edge Computing for Secure Healthcare IoT Data Management

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Hardik Prakash; Prakhar Shukla; Areeb ur Rub; Sambit Satpathy

WbAES-Powered Edge Computing for Secure Healthcare IoT Data Management

Authors: Hardik Prakash, Prakhar Shukla, Areeb ur Rub, Sambit Satpathy

Unique Paper ID: 177888
Volume: 11
Issue: 12
PageNo: 2888-2896

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

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.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 2888-2896

WbAES-Powered Edge Computing for Secure Healthcare IoT Data Management

Available:https://ijirt.org/article?manuscript=177888

27 Mar, 2025

Secure Data Transmission in IoT-Based Healthcare Systems

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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