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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 aggregation 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.

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Next generation wireless network standards are currently being defined. The access network architectures have several specialized components tailored for their respective wireless link technologies even though the services provided by these different wireless networks are fairly similar. In this paper, we propose a homogeneous IPbased network as a common access network for the different wireless technologies. The IP-based access network uses the internet standard, Mobile IP, for supporting macro-mobility of mobile hosts and HAWAII for supporting micro-mobility and paging functionality of current wireless networks. We also illustrate how the proposed IPbased solution can interwork with existing infrastructure so that deployment can be incremental.

No abstract