PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks

Abstract

Abstract-Providing efficient data aggregation while preserving data privacy is a challenging problem in wireless sensor networks research. In this paper, we present two privacy-preserving data aggregation schemes for additive aggregation functions. The first scheme -Cluster-based Private Data Aggregation (CPDA)-leverages clustering protocol and algebraic properties of polynomials. It has the advantage of incurring less communication overhead. The second scheme -Slice-Mix-AggRegaTe (SMART)-builds on slicing techniques and the associative property of addition. It has the advantage of incurring less computation overhead. The goal of our work is to bridge the gap between collaborative data collection by wireless sensor networks and data privacy. We assess the two schemes by privacy-preservation efficacy, communication overhead, and data aggregation accuracy. We present simulation results of our schemes and compare their performance to a typical data aggregation scheme -TAG, where no data privacy protection is provided. Results show the efficacy and efficiency of our schemes. To the best of our knowledge, this paper is among the first on privacy-preserving data aggregation in wireless sensor networks.

Privacy, Trust and Incentives in Participatory Sensing

“…Nodes can act maliciously by trying to infer measurements from their neighbors or by manipulating the aggregated data. The idea is based on additive homomorphic encryption used in secret perturbation (Castelluccia et al 2005), and data splitting (He et al 2007). The scheme work as follows: when a node sn i receives a query, it generates a random key e K i and encodes its measurement D i using that key and sends it directly to the AS.…”

Efficient and Optimally Secure In-Network Aggregation in Wireless Sensor Networks

“…There have been several protocols introduced for preserving the confidentiality of aggregate results [18,19,10,[21][22][23]. This issue is orthogonal to our protocol and is not considered in this paper.…”

Security and Privacy in Wireless Sensor Networks

“…In (He, et al (2007)), He et.al. propose schemes to achieve data aggregation while preserving privacy. The scheme they proposed, CPDA (Cluster-based Private Data Aggregation) performs privacy-preserving data aggregation in low communication overhead with high computational overhead.…”