A secure-enhanced data aggregation based on ECC in wireless sensor networks

37Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.

Abstract

Data aggregation is an important technique for reducing the energy consumption of sensor nodes in wireless sensor networks (WSNs). However, compromised aggregators may forge false values as the aggregated results of their child nodes in order to conduct stealthy attacks or steal other nodes' privacy. This paper proposes a Secure-Enhanced Data Aggregation based on Elliptic Curve Cryptography (SEDA-ECC). The design of SEDA-ECC is based on the principles of privacy homomorphic encryption (PH) and divide-and-conquer. An aggregation tree disjoint method is first adopted to divide the tree into three subtrees of similar sizes, and a PH-based aggregation is performed in each subtree to generate an aggregated subtree result. Then the forged result can be identified by the base station (BS) by comparing the aggregated count value. Finally, the aggregated result can be calculated by the BS according to the remaining results that have not been forged. Extensive analysis and simulations show that SEDA-ECC can achieve the highest security level on the aggregated result with appropriate energy consumption compared with other asymmetric schemes. © 2014 by the authors; licensee MDPI, Basel, Switzerland.

Cite

CITATION STYLE

APA

Zhou, Q., Yang, G., & He, L. (2014). A secure-enhanced data aggregation based on ECC in wireless sensor networks. Sensors (Switzerland), 14(4), 6701–6721. https://doi.org/10.3390/s140406701

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free