Secure Data Aggregation in Wireless Sensor Networks Using Privacy Homomorphism
作者： M. K. Sandhya , K. Murugan
DOI: 10.1007/978-3-642-17878-8_49
关键词: Overhead (computing) 、 Wireless sensor network 、 Key distribution in wireless sensor networks 、 Homomorphism 、 Data aggregator 、 Computer science 、 Homomorphic encryption 、 Encryption 、 Computer network 、 Symmetric-key algorithm
摘要: Data aggregation is a complex task in wireless sensor networks because of its limited power and computing capabilities. Due to large scale deployment nodes for various applications, multiple are required aggregate the relevant information from huge data sets. This process vulnerable many security threats due loss cryptographic keys, node compromise etc. eventually leads breach confidentiality. In this paper we propose scheme called Secure Aggregation using Privacy Homomorphism (SDAPH) which offers high degree confidentiality through encrypted processing. It has lesser overhead as it uses additive privacy homomorphism symmetric key homomorphic encryption technique.
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