CT-RSA '02 Proceedings of the The Cryptographer's Track at the RSA Conference on Topics in Cryptology
CRYPTO '89 Proceedings of the 9th Annual International Cryptology Conference on Advances in Cryptology
Minimal information disclosure with efficiently verifiable credentials
Proceedings of the 4th ACM workshop on Digital identity management
Nonintrusive Load-Shed Verification
IEEE Pervasive Computing
Enhancing accountability of electronic health record usage via patient-centric monitoring
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Evaluating electricity theft detectors in smart grid networks
RAID'12 Proceedings of the 15th international conference on Research in Attacks, Intrusions, and Defenses
A cloud-based consumer-centric architecture for energy data analytics
Proceedings of the fourth international conference on Future energy systems
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A recent study revealed that fine-grained energy usage data could potentially leak sensitive information about an electricity customer. On the other hand, a number of online service providers utilizing such data have emerged and improved effectiveness of smart grid technologies (for instance, demand-response aggregators), and therefore sharing of data is getting popular. In this work, we propose a customer-centric framework to manage, store, and share energy usage data in a privacy-enhanced way. We present a mechanism to enable customers to flexibly control the amount of energy usage information disclosed while still allowing third-party service providers to be convinced of the authenticity of data. A prototype implementation using the widely used Green Button data model is presented and evaluated. We further discuss the design of a demand-response aggregation service on top of the proposed framework.