The integration of the Internet of Things (IoT) into healthcare has led to significant advancements in patient monitoring and care through Wireless Body Area Networks (WBANs). However, these innovations also present substantial challenges in ensuring the security and privacy of sensitive medical data. This research explores the various security threats and vulnerabilities associated with WBANs and IoT-based healthcare systems, proposing novel solutions to enhance data protection. The study introduces the ECG Hummingbird Algorithm, designed for secure data transmission in WBANs, and the Modified Feather Lightweight Block (MFLB) Cipher, which offers a lightweight encryption solution suitable for resource-constrained IoT devices. Experimental results demonstrate the effectiveness of these algorithms in mitigating security risks while maintaining system efficiency. This work contributes to the growing field of cybersecurity in healthcare,
offering practical approaches to safeguarding patient information in an increasingly interconnected world.

Keywords: Internet of Things, IoT, healthcare, Wireless Body Area Networks, WBAN, security, privacy, ECG Hummingbird Algorithm,
Modified Feather Lightweight Block Cipher, encryption, data protection.

How to Cite this Monograph:

Sivasangari, A. (2024). Security and Privacy in IoT based Healthcare (1st ed.). Jupiter Publications Consortium. ISBN: 978-93-86388-62-9, DOI: www.doi.org/10.47715/978-93-86388-62-9