PEMM: A Privacy-Aware Data Aggregation Solution for Mobile Sensing Networks
By more and more, privacy preservation problem is widely discussed among users and researchers. For mobile sensing network, an imperfect privacy preservation scheme will directly put participants into a dangerous situation. The better privacy protection a
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Jilin University, Changchun, People’s Republic of China [email protected] 2 School of Computer Science, Guangzhou University, Guangzhou, Guangdong, People’s Republic of China
Abstract. By more and more, privacy preservation problem is widely discussed among users and researchers. For mobile sensing network, an imperfect privacy preservation scheme will directly put participants into a dangerous situation. The better privacy protection applied, the better sensing data quality will be achieved. In this paper, we present a privacy-aware data aggregation scheme for mobile sensing networks. We considered both the smart nodes like smart-phone and dumb nodes like wearable device or GPS device. We take the location information and the sensing content into consideration separately. And this thought will make sure the sensing content will be k-anonymous and the accurate location will be protected well either. We use erasure coding technology to slice the sensing data record according to the k-anonymity rules. For the sake of efficiency and stability, we compare two coding technology in two sensing data types and give the experi‐ ment results and explanations in detail. After that, we give a social model to describe the social relation and a security data sharing protocol among the partic‐ ipants. The introduction of the participants’ social relation may give a new way to the reputation and data trustworthy evaluation mechanism. Keywords: Privacy preservation · Sensors · Mobile sensing · Participatory sensing
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Introduction
As a new type of participatory sensing systems, mobile sensing network is attracting interests among users and researchers at present. The mobile nodes can be smart phones, vehicle sensors, or other devices with all kinds of sensors to gathering infor‐ mation of our daily life and physical environments. In this paper, we classified the mobile nodes into two types: first is the intelligent mobile terminals such as smart phones and tablet computers which has higher processing capability, we call these as ‘smart nodes’ for short; the second is the dumb terminals such as vehicle sensors and environment noise sensors which have more resource constraint and energy consumption requirement, we call these as ‘dumb nodes’ for short. Through those mobile sensing nodes, mobile sensing systems can gather a variety of data for different applications. In the past, a large and complicated sensing task cannot be © Springer Science+Business Media Singapore 2016 K. Li et al. (Eds.): ISICA 2015, CCIS 575, pp. 474–482, 2016. DOI: 10.1007/978-981-10-0356-1_50
PEMM: A Privacy-Aware Data Aggregation Solution
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accomplished with single device or fixed wireless sensor networks. But these goals all can be achieved in the mobile sensing systems by a participating way [1]. However, there are some challenges at the back such as the reputation evaluation, incentive mechanism construction and energy saving problem. Among those challenges, the privacy and security problems are always the most important issue. If the sensing r
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