Security framework to healthcare robots for secure sharing of healthcare data from cloud.

Abstract

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.