Privacy-Preserving Data Aggregation in Two-Tiered Wireless Sensor Networks with Mobile Nodes

Abstract

Privacy-preserving data aggregation in wireless sensor networks (WSNs) with mobile nodes is a challenging problem, as an accurate aggregation result should be derived in a privacy-preserving manner, under the condition that nodes are mobile and have no pre-specified keys for cryptographic operations. In this paper, we focus on the SUM aggregation function and propose two privacy-preserving data aggregation protocols for two-tiered sensor networks with mobile nodes: Privacy-preserving Data Aggregation against non-colluded Aggregator and Sink (PDAAS) and Privacy-preserving Data Aggregation against Colluded Aggregator and Sink (PDACAS). Both protocols guarantee that the sink can derive the SUM of all raw sensor data but each sensor's raw data is kept confidential. In PDAAS, two keyed values are used, one shared with the sink and the other shared with the aggregator. PDAAS can protect the privacy of sensed data against external eavesdroppers, compromised sensor nodes, the aggregator or the sink, but fails if the aggregator and the sink collude. In PDACAS, multiple keyed values are used in data perturbation, which are not shared with the aggregator or the sink. PDACAS can protect the privacy of sensor nodes even the aggregator and the sink collude, at the cost of a little more overhead than PDAAS. Thorough analysis and experiments are conducted, which confirm the efficacy and efficiency of both schemes.

Access Control Protocol With Node Privacy in Wireless Sensor Networks

“…The main focus of PEPDA is to reduce collision during data transmission and energy consumption, and how to compensate losses that are caused by the collision. Based on the similar idea that proposed by Yang et al [18], Yao et al proposed two privacy-preserving data aggregation protocols: PDAAS (privacy-preserving data aggregation against non-colluded aggregator and sink), and PDACAS (privacy-preserving data aggregation against colluded aggregator and sink) for two-tiered WSNs with mobile nodes [19]. The PDAAS and PDACAS protocols also exploited perturbation concept to secure the sensor data, and thus provide the data privacy.…”

“…While, in a context-aware privacy, how to prevent adversaries from gaining access to the context information, for instance, identity, physical location and so on. Data-centric privacy has been addressed significantly (e.g., Zhang et al [16], Sicari et al [17], Yang et al [18] and Yao et al [19] schemes), but ignoring the node identity privacy. Similarly, in the context-aware privacy, recently, Debnath et al [14], Li et al [15] and Pnogaliur-Xiao [20] have paid a significant attention to the source node privacy and leaving out the destination node privacy.…”

Secure and Low Energy Consumption Range Query in Tiered Sensor Networks

“…This paper presents a range of privacy preserving protocols based on the two-layer sensor network [6] . As shown in Figure 1, the whole network is divided into multiple units, with each containing a storage node and a large number of sensor nodes.…”

PEMM: A Privacy-Aware Data Aggregation Solution for Mobile Sensing Networks

“…In spite of the work focused on mobile sensing and participatory sensing area, some work for wireless sensor networks are also give us some summary and thoughts. [6] proposed a privacy-preserving data aggregation function based on SUM and two aggregation protocols: PDAAS and PDACAS for a sensor networks with mobile nodes.…”