An Efficient Confidentiality and Integrity Preserving Aggregation Protocol in Wireless Sensor Networks
Author(s) -
Liehuang Zhu,
Zhen Yang,
Jingfeng Xue,
Cong Guo
Publication year - 2014
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2014/565480
Subject(s) - computer science , data aggregator , wireless sensor network , homomorphic encryption , confidentiality , computer network , overhead (engineering) , energy consumption , data integrity , encryption , protocol (science) , efficient energy use , computer security , distributed computing , medicine , alternative medicine , pathology , electrical engineering , biology , engineering , operating system , ecology
Wireless sensor networks (WSNs) are composed of sensor nodes with limited energy which is difficult to replenish. In-network data aggregation is the main solution to minimize energy consumption and maximize network lifetime by reducing communication overhead. However, performing data aggregation while preserving data confidentiality and integrity is challenging, because adversaries can eavesdrop and modify the aggregation results easily by compromised aggregation nodes. In this paper, we propose an efficient confidentiality and integrity preserving aggregation protocol (ECIPAP) based on homomorphic encryption and result-checking mechanism. We also implement ECIPAP on SimpleWSN nodes running TinyOS. Security and performance analysis show that our protocol is quite efficient while persevering both aggregation confidentiality and integrity.
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