Chameleon: A blind double trapdoor hash function for securing AMI data aggregation
| Autor: | Sye Loong Keoh, Chin Sean Sum, Kelvin Lim, Heng Chuan Tan, David Leong, Zhaohui Tang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science 020209 energy Hash function 02 engineering and technology Data aggregator Elliptic curve Discrete logarithm Data integrity 0202 electrical engineering electronic engineering information engineering Key (cryptography) Elliptic curve cryptography business Computer network |
| Zdroj: | WF-IoT |
| DOI: | 10.1109/wf-iot.2018.8355112 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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