Journal
IEEE WIRELESS COMMUNICATIONS
Volume 22, Issue 2, Pages 136-144Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MWC.2015.7096296
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Funding
- National Natural Science Foundation of China [61411146001, 61373154, 61371083]
- Prioritized Development Projects of the Specialized Research Fund for the Doctoral Program of Higher Education of China [20130073130004]
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Cloud-assisted wireless wearable communications have been increasingly pervasive with the profound development of sensor, wireless communication, and cloud computing technologies, in addition to the wide adoption of e-health, location-based service, and mobile smart communities. In this article we mainly focus on the goals and tactics of privacy-preserving data aggregation in cloud-assisted wireless wearable communications. With respect to the unique security and privacy requirements and the efficiency consideration for resource-constrained wearable devices, we identify the inappropriateness of secure multiparty computation and fully homomorphic encryption and give new generalized solutions to tackle the challenging issue of efficient privacy-preserving data aggregation and outsourced computation in wireless wearable communications. Last but not least, a series of interesting open problems are suggested along with potential solutions to cast light on the research in this emerging area.
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