Research Article
Secure Handshake with Symptoms-matching: The Essential to the Success of mHealthcare Social Network
@INPROCEEDINGS{10.1145/2221924.2221927, author={Rongxing Lu and Xiaodong Lin and Xiaohui Liang and Xuemin (Sherman) Shen}, title={Secure Handshake with Symptoms-matching: The Essential to the Success of mHealthcare Social Network}, proceedings={5th International ICST Conference on Body Area Networks}, publisher={ACM}, proceedings_a={BODYNETS}, year={2012}, month={6}, keywords={Mobile Healthcare Social Network Secure Handshake with Symptoms-matching Social-based PHI Collaborative Reporting}, doi={10.1145/2221924.2221927} }- Rongxing Lu
Xiaodong Lin
Xiaohui Liang
Xuemin (Sherman) Shen
Year: 2012
Secure Handshake with Symptoms-matching: The Essential to the Success of mHealthcare Social Network
BODYNETS
ACM
DOI: 10.1145/2221924.2221927
Abstract
In our aging society, mHealthcare social network (MHSN) built upon wireless body sensor network (WBSN) and mobile communications provides a promising platform for the seniors who have the same symptom to exchange their experiences, give mutual support and inspiration to each other, and help forwarding their health information wirelessly to a related eHealth center. However, there exist many challenging security issues in MHSN such as how to securely identify a senior who has the same symptom, how to prevent others who don't have the symptom from knowing someone's symptom? In this paper, to tackle these challenging security issues, we propose a secure same-symptom-based handshake (SSH) scheme, and apply the provable security technique to demonstrate its security in the random oracle model. In addition, we discuss a promising application -- social-based patient health information (PHI) collaborative reporting in MHSN, and conduct extensive simulations to evaluate its efficiency in terms of PHI reporting delay.
