Title: A traceable threshold attribute-based signcryption for mHealthcare social network

Authors: Yanfei Lu; Xu Wang; Chunqiang Hu; Hui Li; Yan Huo

Addresses: School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China ' School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China ' School of Software Engineering, Chongqing University, Chongqing, 400044, China ' School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China ' School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China

Abstract: With the rapid development of wireless sensor technologies, mobile healthcare social network (MHSN) built upon wireless body sensor network (WBSN), has evolved into an innovative next-generation healthcare system in our aging society. Nevertheless, it is vital to focus on the security issues and the tradeoff between privacy preserving and traceability. A novel security mechanism named as the traceable threshold attribute-based signcryption (TTABSC) can permits patients to be friends and make a proper tradeoff between privacy and traceability. The proposed scheme leverages a four-party model to prevent the leak of a patient's sensitive information, including symptom information, identity and patient's health information (PHI). Combining the digital signatures and encryption, we provide a series of performance analysis, including correctness, unforgeability, traceability and privacy. Compared with previous works, our most efficient scheme generates a constant signcryption size.

Keywords: MHSN; mobile healthcare social network; TTABSC; traceability; attribute-based signcryption; symptoms-matching.

DOI: 10.1504/IJSNET.2018.088384

International Journal of Sensor Networks, 2018 Vol.26 No.1, pp.43 - 53

Received: 20 Jan 2017
Accepted: 27 May 2017
Published online: 05 Dec 2017 *

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