DocumentCode
3580268
Title
Towards secure end-to-end data aggregation in AMI through delayed-integrity-verification
Author
Sye Loong Keoh ; Zhaohui Tang
Author_Institution
Sch. of Comput. Sci., Univ. of Glasgow, Singapore, Singapore
fYear
2014
Firstpage
6
Lastpage
11
Abstract
The integrity and authenticity of the energy usage data in Advanced Metering Infrastructure (AMI) is crucial to ensure the correct energy load to facilitate generation, distribution and customer billing. Any malicious tampering to the data must be detected immediately. This paper introduces secure end-to-end data aggregation for AMI, a security protocol that allows the concentrators to securely aggregate the data collected from the smart meters, while enabling the utility back-end that receives the aggregated data to verify the integrity and data originality. Compromise of concentrators can be detected. The aggregated data is protected using Chameleon Signatures and then forwarded to the utility back-end for verification, accounting, and analysis. Using the Trapdoor Chameleon Hash Function, the smart meters can periodically send an evidence to the utility back-end, by computing an alternative message and a random value (m´, r) such that m´ consists of all previous energy usage measurements of the smart meter in a specified period of time. By verifying that the Chameleon Hash Value of (m´, r) and that the energy usage matches those aggregated by the concentrators, the utility back-end is convinced of the integrity and authenticity of the data from the smart meters. Any data anomaly between smart meters and concentrators can be detected, thus indicating potential compromise of concentrators.
Keywords
cryptographic protocols; data communication; smart meters; telecommunication security; AMI; advanced metering infrastructure; chameleon signatures; customer billing; delayed-integrity-verification; energy usage measurements; secure end-to-end data aggregation; trapdoor chameleon hash function; Ground penetrating radar; IEEE 802.15 Standards; IP networks; Logic gates; Zigbee;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Assurance and Security (IAS), 2014 10th International Conference on
Print_ISBN
978-1-4799-8098-7
Type
conf
DOI
10.1109/ISIAS.2014.7064626
Filename
7064626
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