Integration of Blockchain Technology for Security and Privacy Enhancement in Wireless Body Area Network Systems

Abstract

Objectives: Blockchain technology can improve the security and privacy of Wireless Body Area Network (WBAN) systems in healthcare. The primary goal of this research is to address the privacy and security concerns in technologyloaded devices and gadgets by proposing a novel approach that integrates blockchain and advanced cryptographic techniques with WBAN. Methods: Simulated physiological data collected from multiple body sensors in a WBAN environment, along with network traffic data, were gathered. A modified algorithm is developed for signature encryption in WBAN systems using a hyperelliptic curve secure channel. This approach incorporates blockchain technology to strengthen security and privacy measures for efficient and safe data transfer and storage. To achieve this, a hyperelliptic curve-based technique is used along with an authenticated certificate-less signature key encryption model, which helps overcome various attacks, such as man-in-themiddle attacks, basic impersonation attacks, and key offset attacks. Findings: The proposed methodology is compared to traditional approaches to assess its effectiveness. This methodology is evaluated using parameters such as Hardware Security Model (HSM) operations and time taken, which demonstrate its superiority. It is observed that the proposed methodology records 3 hsm operations within 2.03 ms with Signcryption and 3 hsm within 2.35 ms with Unsigncryption, proving to be better than other traditional approaches. Novelty: The integrity, security, and privacy features of blockchain, make it difficult for malicious actors to crack or hack the system. The security measures are further enhanced by using a hyperelliptic curve-based technique and an authenticated certificate-less signature key encryption model. This approach also addresses multiple attacks providing a comprehensive solution for secure data transmission.