A Secret Confusion Based Energy‐Saving and Privacy‐Preserving Data Aggregation Algorithm. Issue 4 (1st July 2017)

• Record Type: Journal Article
• Authors: Zhang, Jun; Zhu, Jianghao; Jia, Zongpu; Yan, Xixi
• Is Part Of: Chinese journal of electronics. Volume 26:Issue 4(2017)
• Page Start: 740
• Page End: 746
• Publication Date: 2017-07-01
• Subjects: Wireless sensor network (WSN) -- Data aggregation -- Privacy‐preserving -- Energy‐saving -- Positivenegative pair; data aggregation -- data protection -- electronic data interchange -- energy conservation -- wireless sensor networks; secret confusion -- energy‐saving -- privacy‐preserving data aggregation algorithm -- communication overhead reduction -- privacy protection -- CESPT -- data exchange -- exchange rounds -- privacy intensity -- wireless sensor network -- WSN -- positive‐negative neutralization strategy -- time slice allocation mechanism -- network traffic reduction -- message collision reduction -- data traffic reduction -- energy consumption; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2016.08.031
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : To reduce communication overhead on the premise of privacy protection, this study presents a novel secret Confusion based energy‐saving and privacypreserving data aggregation algorithm (CESPT). In confusion phase, CESPT confuses real sensory data and their sources by positive‐negative pairs and a confusion factor is introduced to determine the quantity of pairs generated by a sensor, the exchange rounds and the threshold of data exchange, which affect communication overhead and privacy intensity of a Wireless sensor network (WSN). In aggregation phase, CESPT adopts a positive‐negative neutralization strategy and a well‐designed time slice allocation mechanism to reduce network traffic and message collision. In a word, CESPT can greatly reduce data traffic and energy consumption and obtain accurate statistical results on the basis of data privacy.