Jain Saurabh, Doriya Rajesh
National Institute of Technology, Raipur, India.
Int J Inf Technol. 2022;14(5):2429-2439. doi: 10.1007/s41870-022-00997-8. Epub 2022 May 24.
Healthcare robots have the potential to assist medical practitioners in accurately performing tasks such as nursing, diagnosing, and performing critical surgeries. Limited processing, battery power, and storage capacity may reduce the robot's working efficiency. Using cloud services (massive storage, fast processing, and network) overcome the above-mentioned issues. However, sharing healthcare data from the cloud to healthcare robots raises security concerns. Sharing sensitive healthcare data, from the cloud to healthcare robots, can lead to multiple internal and external attacks that are an important research issue. To avoid these types of attacks, data must be encrypted before it is stored in the cloud, assigned roles using access controls, and maintains the integrity of the data. In this paper, the robotics healthcare data is encrypted using an Elliptic Curve Cryptography (ECC)-based mechanism for secure sharing, and Hash-based Message Authentication Code-SHA 1 (HMAC-SHA1) is used for maintaining the integrity of the sensitive data. The results show that the proposed methodology gives better results with less security overhead. Furthermore, the proposed framework can be applied practically in a healthcare environment with low computational power.
医疗机器人有潜力协助医疗从业者准确执行诸如护理、诊断和进行关键手术等任务。有限的处理能力、电池电量和存储容量可能会降低机器人的工作效率。使用云服务（海量存储、快速处理和网络）可以克服上述问题。然而，将医疗数据从云端共享到医疗机器人会引发安全问题。从云端向医疗机器人共享敏感医疗数据可能会导致多种内部和外部攻击，这是一个重要的研究问题。为避免此类攻击，数据在存储到云端之前必须进行加密，使用访问控制分配角色，并维护数据的完整性。在本文中，基于椭圆曲线密码学（ECC）的机制对机器人医疗数据进行加密以实现安全共享，基于哈希的消息认证码-SHA 1（HMAC-SHA1）用于维护敏感数据的完整性。结果表明，所提出的方法以较低的安全开销取得了更好的效果。此外，所提出的框架可以在计算能力较低的医疗环境中实际应用。
