Abstract

Internet of Medical Things (IoMT) is a kind of Internet of Things (IoT) that includes patients and medical sensors. Patients can share real-time medical data collected in IoMT with medical professionals. This enables medical professionals to provide patients with efficient medical services. Due to the high efficiency of cloud computing, patients prefer to share gathering medical information using cloud servers. However, sharing medical data on the cloud server will cause security issues, because these data involve the privacy of patients. Although recently many researchers have designed data sharing schemes in medical domain for security purpose, most of them cannot guarantee the anonymity of patients and provide access control for shared health data, and further, they are not lightweight enough for IoMT. Due to these security and efficiency issues, a novel lightweight privacy-preserving data sharing scheme is constructed in this paper for IoMT. This scheme can achieve the anonymity of patients and access control of shared medical data. At the same time, it satisfies all described security features. In addition, this scheme can achieve lightweight computations by using elliptic curve cryptography (ECC), XOR operations, and hash function. Furthermore, performance evaluation demonstrates that the proposed scheme takes less computation cost through comparison with similar solutions. Therefore, it is fairly an attractive solution for efficient and secure data sharing in IoMT.

Highlights

  • Internet of Things (IoT) is a system, which connects different sorts of sensors and computing devices using network to gather and share medical data

  • Internet of Medical Things (IoMT) is substantially IoT devices applied to medical industry [2]

  • The proposed scheme should be required to guarantee that only authorized users designated by the patient himself could access the encrypted health data through cloud severs (CS)

Read more

Summary

Introduction

Internet of Things (IoT) is a system, which connects different sorts of sensors and computing devices using network to gather and share medical data. The physiological sensors, used in medical systems, have limited storage memory and power and low computation speed and bandwidth This motivates us to design a low-cost and lightweight data sharing scheme applied to the IoMT, which consumes less power and meets higher security requirements. (1) A lightweight privacy-preserving data sharing scheme for IoMT using ECC is proposed, which anonymizes the identity of patients and designs authorized access to shared health data (2) The proposed scheme realizes lightweight computations by ECC, hash, and XOR operations, which does not require heavy computations such as bilinear pairings (3) The proposed protocol can resist possible attacks and achieve all desired security features, including replay attack, eavesdropping attack, correctness, freshness of encryption key, authentication, anonymity of patient, integrity certification, and forward secrecy of encryption key (4) Compared with the similar solutions, the proposed scheme satisfies all desired security features and achieves more lightweight computations on patients.

Related Work
Preliminaries
Model of the Proposed Scheme
Proposed Scheme
Security Analysis
Possible Attacks
Performance Analysis
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call