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...ks. In Kohlweiss et al. [13] it is extended to obscure inferences that can be drawn from the final bill using a combination of differentially private mechanisms and oblivious payments. Kursawe et al. =-=[26]-=- propose an aggregation protocol to privately sum readings from multiple meters, including protocols that are compatible with the protocols presented in this work, as well as making use of our low-com...

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...ure. The second protocol is a minor modification of [7] and the third protocol is based on Elliptic Curve ElGamal, which is quite inefficient because of expensive algebraic operations. Kursawe et al. =-=[15]-=- present cryptographic protocols for computing aggregated consumptions using Diffie-Hellman key exchange protocol and bilinear mapping, which also requires expensive elliptic curve operations. Kohlwei...

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...de an overview on different (non-fault-tolerant) approaches that ensure privacy for different applications of smart metering data: leakage detection [5] by homomorphic encryption, general aggregation =-=[14]-=- and comparison by secret-sharing, aggregation by third party [1,21] or aggregation [1] by randomization. In [5] a privacy-preserving detection algorithm for leakages in electricity distribution has b...

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...ng, in particular the conflicting interests among stakeholders. Quinn [24] and Cavoukian et al. [8] investigate legal aspects of smart meters. The privacy of billing is investigated by Danezis et al. =-=[17, 26]-=- and Molina-Markham et al. [22]. They in particular identify the private information that current meters might leak, and propose protocol adaptations for anonymizing individual measurements. In contra...

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...ive messages and aspractical appliance control system to be taken as samples.sA. Adversary Model and Security AssumptionsAdversary Model: like other researches in areas of privacyspreservations [11], =-=[15]-=-, [18], [31], we follow the semihonest adversary model in which smart devices (e.g. smartsmeters, etc.) obey appliance control schemes. Meanwhilesthey are also curious about messages they learn (or sh...

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...opting over both the short- and long-term. Our focus is on implementing cryptographic techniques on smart meters such as those proposed by Rial et al. [25], Molina-Markham et al. [21], Kursawe et al. =-=[18]-=- and Jawurek et al. [17]. However, our methodology also applies to estimating the cost of similar metering systems that require privacy, including natural gas, water, and toll roads, such as the one p...

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...y giving an implementation together with a detailed performance analysis. Similarly, privately collecting sensor readings from smart meters has been an important application of SMC protocols recently =-=[28,42,43]-=-. We show that certain variants of our original proposal can be used to efficiently enhance privacy in smart grids. For instance, we design a protocol to privately aggregate sensor readings with very ...

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...ore popular items across all streams, the aggregator learns nothing else. To achieve aggregator obliviousness, our second protocol PDCH-BF employs bloom filters, as well as special encryption schemes =-=[15, 20, 21]-=- which support secure aggregation and controlled decryption of selective statistics. Notice that aggregator obliviousness immediately implies the following: 1) in the example in Figure 1 the aggregato...

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...y not follow the protocol and can provide false information, but cannot modify the communications infrastructure: Garcia and Jacobs [7] use a combination of Pallier’s scheme and secret sharing; paper =-=[8]-=- proposes four different protocols with different cryptographic properties and complexities.; paper [9] proposes a protocol based on the differential security model, which is robust to the temporary l...