Enhancing Security for Robot-Assisted Surgery through Advanced Authentication Mechanisms Over 5G Networks

Shaman Bhat, Ashwin Kavasseri
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Abstract

The adoption of robotic surgical procedures over wireless 5G networks has increased rapidly in recent years, providing improved precision and patient outcomes. However, the security and reliability of the end-to-end information between the surgeon's control console and the robotic system are critical concerns. This paper proposes a solution to enhance the security and reliability of the authentication process in robot-assisted surgery by enhancing existing authentication mechanisms. The proposed solution builds upon the existing Transport Layer Security (TLS) protocol, and introduces additional security measures, including biometric authentication and multi-factor authentication while minimizing latency and delay in transmission. The effectiveness of the proposed solution is evaluated through simulation and testing, demonstrating its ability to provide enhanced security for robot-assisted surgery. The proposed solution has the potential to provide an additional layer of security while staying in realistic bounds of latency and delay in data transmission.
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通过5G网络的高级认证机制增强机器人辅助手术的安全性
近年来,通过无线5G网络采用机器人手术的情况迅速增加,提高了手术的精确度和患者的治疗效果。然而,外科医生控制台和机器人系统之间端到端信息的安全性和可靠性是关键问题。本文提出了一种通过改进现有认证机制来提高机器人辅助手术认证过程安全性和可靠性的解决方案。拟议的解决方案建立在现有的传输层安全(TLS)协议之上,并引入了额外的安全措施,包括生物识别身份验证和多因素身份验证,同时最大限度地减少了传输中的延迟和延迟。通过仿真和测试评估了所提出的解决方案的有效性,证明了其为机器人辅助手术提供增强安全性的能力。建议的解决方案有可能提供额外的安全层,同时保持数据传输中的延迟和延迟的实际范围。
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