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Efficient and privacy-aware data aggregation in mobile sensing (2014)
| Content Provider | CiteSeerX |
|---|---|
| Author | Li, Qinghua Cao, Guohong Porta, Thomas F. La |
| Abstract | Abstract—The proliferation and ever-increasing capabilities of mobile devices such as smart phones give rise to a variety of mobile sensing applications. This paper studies how an untrusted aggregator in mobile sensing can periodically obtain desired statistics over the data contributed by multiple mobile users, without compromising the privacy of each user. Although there are some existing works in this area, they either require bidirectional communications between the aggregator and mobile users in every aggregation period, or have high computation overhead and cannot support large plaintext spaces. Also, they do not consider the Min aggregate which is quite useful in mobile sensing. To address these problems, we propose an efficient protocol to obtain the Sum aggregate, which employs an additive homomorphic encryption and a novel key management technique to support large plaintext space. We also extend the sum aggrega-tion protocol to obtain the Min aggregate of time-series data. To deal with dynamic joins and leaves of mobile users, we propose a scheme which utilizes the redundancy in security to reduce the communication cost for each join and leave. Evaluations show that our protocols are orders of magnitude faster than existing solutions, and it has much lower communication overhead. Index Terms—Mobile sensing, privacy, data aggregation I. |
| File Format | |
| Journal | IEEE Trans. on Dependable and Secure Computing |
| Language | English |
| Publisher Date | 2014-01-01 |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
