A smart contract-based robotic surgery authentication system for healthcare using 6G-Tactile Internet

Abstract

An intelligent robotic surgical system, utilizing the capabilities of 6G-enabled Tactile Internet (TI) and blockchain technology, holds remarkable promise for providing remote healthcare services in real-time. This system has the potential to deliver high-quality and reliable healthcare services with a focus on responsiveness. It holds considerable benefits for society, particularly in terms of achieving exceptionally accurate surgical diagnoses. Yet, contemporary robotic surgery systems face challenges such as security, privacy, reliability, latency, and the costly implications of blockchain-based storage. These issues curtail the immediate global implementation of tactile internet in surgical procedures. In order to address the previously mentioned concerns, we present a new solution referred to as “A Smart Contract-Based Robotic Surgery Authentication System for Healthcare Using 6G-Tactile Internet”. It is an innovative framework for intelligent and blockchain-driven tactile internet. By incorporating a smart contract, we aim to effectively tackle the challenges associated with security, privacy, and the transparency. The introduced approach also effectively thwarts the implementation of malicious commands that might be transmitted by an unauthorized individual. The utilization of the 6G communication channel substantially reduces the latency challenges associated with exchanging surgical commands. The security of the suggested protocol is formally showcased through the utilization of the Real-Or-Random Oracle (ROR) model and Scyther simulation tool. Furthermore, an informal security analysis is conducted to validate and support the findings from the formal security analyses. We conduct simulations of the proposed protocol utilizing the Multi-precision Integer and Rational Arithmetic Cryptographic Library (MIRACL). Moreover, the performance and comparative analysis illustrate that the presented solution outperforms currently existing approaches.