Securing Biotechnological Data Transmission: A Multi-Objective Hybrid Particle Swarm Algorithm for Wireless Network Encryption

Weigang Liu
College of Information Engineering, Tianjin Modern Vocational Technology College, Tianjin 300350, Tianjin, China

DOI:https://doi.org/10.5912/jcb1124

Abstract:

The advent of Fifth-Generation (5G) wireless technology has revolutionized data transmission, including the secure exchange of sensitive biotechnological data. This technological leap has heightened the necessity for advanced security measures to protect Wireless Body Area Networks (WBANs), which are increasingly used in biotechnology for real-time monitoring and data gathering from biomedical devices and sensors. These devices are often vulnerable to various cyber threats due to their operation over open wireless channels. This article introduces a novel encryption system based on a multi-objective hybrid particle swarm optimization algorithm, enhanced by Hyperelliptic Curve Cryptography (HECC). HECC, an advancement over traditional Elliptic Curve Cryptography (ECC), offers more robust security with smaller key sizes, optimizing both computational efficiency and security. Our proposed system is tailored for biotechnological applications, ensuring secure communication within WBANs by meeting stringent security and privacy standards while minimizing computational and communication overheads. The security and performance analyses confirm that the proposed encryption method effectively protects data transmitted over wireless networks in biotechnological settings, facilitating safe and efficient remote healthcare and research data management.