Secure End-to-End Data Aggregation (SEEDA) Protocols for Wireless Sensor Networks
A.S. Poornima and B.B. Amberker
Wireless Sensor Network (WSN) consists of a large number of nodes with limited sensing, computation and communication capabilities. In such a network the data transmission is an energy-consuming operation. Hence to increase the lifetime of the network it is essential to reduce the number of bits transmitted. One widely used method for reducing the data transmission is data aggregation. The security issues such as data integrity, confidentiality and freshness in data aggregation become crucial when the WSN is deployed in a remote or hostile environment. Secure data aggregation schemes are suitable to achieve security in data aggregation. In this paper we propose two protocols called SEEDA-SUM/AVG and SEEDA-MIN/MAX for secure data aggregation that provide end-to-end data privacy. The protocol SEEDA-SUM/AVGis used to compute the SUM and AVERAGE aggregates. Using this protocol the average number of bits transmitted per node is reduced by 30%-70% compared to the scheme proposed by Castelluccia et al. The SEEDA-MIN/MAX protocol computes MINIMUM and MAXIMUM aggregates by comparing the encrypted data. The protocol uses simple comparison operations in contrast to multiple encryptions in the scheme proposed by Ertaul et al.
Keywords: Secure Data Aggregation, end-to-end privacy, homomorphic encryption, Cipher Text, Aggregated data.