Healing on the cloud: Secure cloud architecture for medical wireless sensor networks

Abstract

There has been a host of research works on wireless sensor networks (WSN) for medical applications. However, the major shortcoming of these efforts is a lack of consideration of data management. Indeed, the huge amount of high sensitive data generated and collected by medical sensor networks introduces several challenges that existing architectures cannot solve. These challenges include scalability, availability and security. Furthermore, WSNs for medical applications provide useful and real information about patients' health state. This information should be available for healthcare providers to facilitate response and to improve the rescue process of a patient during emergency. Hence, emergency management is another challenge for medical wireless sensor networks. In this paper, we propose an innovative architecture for collecting and accessing large amount of data generated by medical sensor networks. Our architecture overcomes all the aforementioned challenges and makes easy information sharing between healthcare professionals in normal and emergency situations. Furthermore, we propose an effective and flexible security mechanism that guarantees confidentiality, integrity as well as fine-grained access control to outsourced medical data. This mechanism relies on Ciphertext Policy Attributebased Encryption (CP-ABE) to achieve high flexibility and performance. Finally, we carry out extensive simulations that allow showing that our scheme provides an efficient, fine-grained and scalable access control in normal and emergency situations.

Security and Privacy in the Medical Internet of Things: A Review

“…Lounis et al [8] proposed a new cloud-based architecture for medical wireless sensor networks and developed an access control that supports complex and dynamic security policies, which relies on ciphertext-policy attribute-based encryption (CP-ABE). Simulation results showed that their access control is efficient, fine-grained, and scalable.…”

Cloud based framework for Parkinson’s disease diagnosis and monitoring system for remote healthcare applications

“…speech/voice, image, video etc.). Due to the elasticity, on-demand self-service, ubiquity, resource pooling, scalability of clouds in data acquisition, data storage, data analysis and data transmission [20], a cloud based healthcare system accessed by smart phones can be an effective solution for both patients and doctors.…”

Secure and Privacy-Preserving Data Sharing and Collaboration in Mobile Healthcare Social Networks of Smart Cities

“…Otherwise, patients may not be willing to share their health and social data such that the infection analysis would be disabled. In fact, attribute-based encryption (ABE) and identity-based broadcast encryption (IBBE) are widely adopted encryption algorithms [12]. Particularly, CP-ABE is conceptually closer to traditional access control models, to enforce fine-grained access control of encrypted data.…”

“…The health cloud takes as input a health ciphertext CT ℎ and a heath reencryption key RK ℎ and outputs a reencrypted health ciphertext RT ℎ . (12) . (PK, SK, ID ).…”