Chameleon: a Blind Double Trapdoor Hash Function for Securing AMI Data Aggregation

Tan, H. C., Lim, K., Keoh, S. L. , Tang, Z., Leong, D. and Sum, C. S. (2018) Chameleon: a Blind Double Trapdoor Hash Function for Securing AMI Data Aggregation. In: IEEE 4th World Forum on Internet of Things (WF-IoT), Singapore, 05-08 Feb 2018, pp. 225-230. ISBN 9781467399449 (doi:10.1109/WF-IoT.2018.8355112)

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Abstract

Data aggregation is an integral part of Advanced Metering Infrastructure (AMI) deployment that is implemented by the concentrator. Data aggregation reduces the number of transmissions, thereby reducing communication costs and increasing the bandwidth utilization of AMI. However, the concentrator poses a great risk of being tampered with, leading to erroneous bills and possible consumer disputes. In this paper, we propose an end-to-end integrity protocol using elliptic curve based chameleon hashing to provide data integrity and authenticity. The concentrator generates and sends a chameleon hash value of the aggregated readings to the Meter Data Management System (MDMS) for verification, while the smart meter with the trapdoor key computes and sends a commitment value to the MDMS so that the resulting chameleon hash value calculated by the MDMS is equivalent to the previous hash value sent by the concentrator. By comparing the two hash values, the MDMS can validate the integrity and authenticity of the data sent by the concentrator. Compared with the discrete logarithm implementation, the ECC implementation reduces the computational cost of MDMS, concentrator and smart meter by approximately 36.8%, 80%, and 99% respectively. We also demonstrate the security soundness of our protocol through informal security analysis.

Item Type:Conference Proceedings
Additional Information:This work was supported by the Ministry of Education, Singapore under grant MOE2015-TIF-2-G-002.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Tang, Dr Zhaohui and Keoh, Dr Sye Loong
Authors: Tan, H. C., Lim, K., Keoh, S. L., Tang, Z., Leong, D., and Sum, C. S.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9781467399449
Copyright Holders:Copyright © 2018 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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