Communications of the ACM
Choosing reputable servents in a P2P network
Proceedings of the 11th international conference on World Wide Web
A Simple Publicly Verifiable Secret Sharing Scheme and Its Application to Electronic
CRYPTO '99 Proceedings of the 19th Annual International Cryptology Conference on Advances in Cryptology
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Tor: the second-generation onion router
SSYM'04 Proceedings of the 13th conference on USENIX Security Symposium - Volume 13
SuperTrust: a secure and efficient framework for handling trust in super-peer networks
Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing
Security and Privacy Challenges in the Smart Grid
IEEE Security and Privacy
EUROCRYPT'91 Proceedings of the 10th annual international conference on Theory and application of cryptographic techniques
Private memoirs of a smart meter
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Privacy-friendly aggregation for the smart-grid
PETS'11 Proceedings of the 11th international conference on Privacy enhancing technologies
Privacy-preserving smart metering
Proceedings of the 10th annual ACM workshop on Privacy in the electronic society
Privacy-friendly energy-metering via homomorphic encryption
STM'10 Proceedings of the 6th international conference on Security and trust management
A Novel Method to Construct Taxonomy Electrical Appliances Based on Load Signaturesof
IEEE Transactions on Consumer Electronics
Double-spending fast payments in bitcoin
Proceedings of the 2012 ACM conference on Computer and communications security
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The smart-grid is gaining increasing attention nowadays, owing to its premise to offer increased reliability and performance. However, the current design of smart-grids raises serious concerns with respect to the privacy and anonymity of users. In this paper, we address the problem of enhancing the privacy of users in the smart grid throughout the reporting and the billing phases. To that end, we propose a taxonomy of solutions that enable (i) the privacy-preserving aggregation of smart meters' energy consumption reports without relying on a single point of trust, (ii) the anonymous tasking, e.g., the outsourcing of (maintenance) tasks to smart meters, and (iii) the privacy-preserving billing and barter of energy between the utility provider and the smart meters. To the best of our knowledge, this is the first contribution that comprehensively addresses privacy issues in the tasking and energy-trading processes in smart grids. Our proposed solutions complement previous work in the area and can be easily integrated within existing smart grids.