Energy-efficient adaptive slice-based secure data aggregation scheme in WSN

Fang

et al. 2020

IEEE Access

Data aggregation is a fundamental and efficient algorithm to reduce the communication overhead and energy consumption in wireless sensor networks (WSNs). However, WSNs need both energy-efficient and privacy-preserving when being deployed in an unprotected area. In this paper, we propose an energy-efficient and privacy-preserving data aggregation algorithm CBDA (the chain-based data aggregation). In the CBDA, sensor nodes will be organized as a tree topology. The leaf nodes of the tree sequentially reconnect with each other to form many chain topologies. For assuring data privacy, after data gathering, (1) the tail nodes (the nodes which on the tail of chain) need to slice their sensing data into J fragments. One fragment is kept by themselves, and they distribute the J −1 data fragments to their neighbor nodes. (2) Each tail node will inject some fake fragments into its J −1 fragments to interfere with adversaries. The CBDA can achieve less energy consumption and higher aggregation accuracy during data aggregation. We perform a comprehensive simulation to make a comparison among the CBDA with existing algorithms. The experimental results demonstrate that the CBDA outperforms the existing algorithms. INDEX TERMS Wireless sensor network, data processing, data privacy; energy conservation, accuracy.

Section: A Multiparty Computation-based Algorithmsmentioning

confidence: 99%

A Novel Energy-Efficient and Privacy-Preserving Data Aggregation for WSNs

Fang

et al. 2020

IEEE Access

“…It divides the sensing data into many slices and sends each slice to different destination nodes in order to hide the sensitive information in varied slices which can provide a better privacy protection for WSNs. Many researches have proved that SMART can protect the data security at a little cost of communication bandwidth occupation [19,20]. The workflow of SMART is described as follows.…”

Section: Related Workmentioning

confidence: 99%

“…However, it requires more communication consumption which shortens the lifetime of network and degrades the effectiveness of sensor node. Faced with this dilemma, Hua et al proposed an energy-efficient adaptive slice-based secure data aggregation (ASSDA) scheme [20]. In ASSDA, the same data slice of a node can be sent once only in the same time slot.…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient privacy-preserving data aggregation protocols based on slicing

Zhang

et al. 2020

J Wireless Com Network

Self Cite

Wireless sensor networks (WSNs) have become one of the most vigorous techniques in the network domain. However, the sensor nodes of WSNs tend to become the target of attackers due to the broadcast communication mode and the unattended deployment nature. Although it can prevent the sensitive data from being compromised, Slice-Mix-AggRegaTe (SMART) needs to exchange messages frequently in a network, which put tremendous overhead on the sensor nodes with limited resources. Faced with these issues, this paper proposes an energy-efficient privacy-preserving data aggregation protocol based on slicing (EPPA) where a novel slicing mode is adopted to reduce the numbers of slices, which can significantly prevent the data from being compromised and decrease the communication overhead. Meanwhile, an enhanced scheme based on EPPA, called multi-function privacy-preserving data aggregation protocol (MPPA), is presented and it supports multiple functions in the process of data aggregation, such as max/min, count, and mean. The theoretical analysis and the simulation evaluation show that the proposed aggregation protocols demonstrate a better performance in the privacy preserving and the communication efficiency.

“…Only the sink node can decrypt the encrypted data of each node. Hua et al 12 proposed the ASSDA protocol, which dynamically determines the number of slices and the size of each piece of data, improving the performance of the SMART protocol.…”

Section: Tree-based Algorithmsmentioning

confidence: 99%

Energy-efficient and privacy-preserving spatial range aggregation query processing in wireless sensor networks

International Journal of Distributed Sensor Networks

Wang

2019

The existing privacy-preserving aggregation query processing methods in sensor networks rely on pre-established network topology and require all nodes in the network to participate in query processing. Maintaining the topology results in a large amount of energy overhead, and in many cases, the user is interested only in the aggregated query results of some areas in the network, and thus, the participation of the entire network node is not necessary. Aiming to solve this problem, this article proposes a spatial range aggregation query algorithm for a dynamic sensor network with privacy protection (energy-efficient privacy-preserving data aggregation). The algorithm does not rely on the pre-established topology but considers only the query area that the user is interested in, abandoning all nodes to participate in distributing the query messages while gathering the sensory data in the query range. To protect node data privacy, Shamir’s secret sharing technology is used to prevent internal attackers from stealing the sensitive data of the surrounding nodes. The analysis and experimental results show that the proposed algorithm outperforms the existing algorithms in terms of energy and privacy protection.