Survey on secure data aggregation for wireless sensor networks
Jia Guo, Jian‐an Fang, Xuemin Chen
Abstract
Jia Guo, Jian‐an Fang, Xuemin Chen
Abstract
Data aggregation can significantly reduce the amount of data transmitted to the base station, therefore improve the energy efficiency and prolong the wireless network lifetime. However the sensor nodes may be deployed in remote and hostile environments where attackers may inject false information or forge aggregation values without being detected. Thus, security issue becomes an important research field in data aggregation for wireless sensor networks (WSNs). In this paper, the secure data aggregation schemes are categorized into hop by hop aggregation and end to end aggregation, and then the secure data aggregation schemes are reviewed and analyzed based on four phases: bootstrapping, data aggregation, verification and remedy. In addition, some topics for future search directions are pointed out.
OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Data aggregation can significantly reduce the amount of data transmitted to the base station, therefore improve the energy efficiency and prolong the wireless network lifetime. However the sensor nodes may be deployed in remote and hostile environments where attackers may inject false information or forge aggregation values without being detected. Thus, security issue becomes an important research field in data aggregation for wireless sensor networks (WSNs). In this paper, the secure data aggregation schemes are categorized into hop by hop aggregation and end to end aggregation, and then the secure data aggregation schemes are reviewed and analyzed based on four phases: bootstrapping, data aggregation, verification and remedy. In addition, some topics for future search directions are pointed out.
Key concepts: Data aggregator, Wireless sensor network, Computer science, Computer network, Base station, Information aggregation, Bootstrapping (finance), Efficient energy use