2014 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks 2014
DOI: 10.1109/dsn.2014.82
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Towards Secure Metering Data Analysis via Distributed Differential Privacy

Abstract: The future electrical grid, i.e., smart grid, will utilize appliance-level control to provide sustainable power usage and flexible energy utilization. However, load trace monitoring for appliance-level control poses privacy concerns with inferring private information. In this paper, we introduce a privacypreserving and fine-grained power load data analysis mechanism for appliance-level peak-time load balance control in the smart grid. The proposed technique provides rigorous provable privacy and an accuracy gu… Show more

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Cited by 4 publications
(2 citation statements)
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“…Another privacy-preserving protocol using DP was presented in [Danezis et al, 2011] by adding noise to the aggregate energy consumption (bills) of consumers to hide their activities that might be revealed from their energy consumption traces. Furthermore, Liao et al [Liao et al, 2014] proposed a privacy preserving energy data analytics framework using distributed DP. However, we focus on perturbing a predictive model (by perturbing the input time series used for training the predictive models) via the Laplace [Dwork, 2011] and Gaussian [Dwork et al, 2006a] mechanisms to mitigate the reconstruction attack.…”
Section: Related Workmentioning
confidence: 99%
“…Another privacy-preserving protocol using DP was presented in [Danezis et al, 2011] by adding noise to the aggregate energy consumption (bills) of consumers to hide their activities that might be revealed from their energy consumption traces. Furthermore, Liao et al [Liao et al, 2014] proposed a privacy preserving energy data analytics framework using distributed DP. However, we focus on perturbing a predictive model (by perturbing the input time series used for training the predictive models) via the Laplace [Dwork, 2011] and Gaussian [Dwork et al, 2006a] mechanisms to mitigate the reconstruction attack.…”
Section: Related Workmentioning
confidence: 99%
“…Additionally, there are several related works, which surveyed the HAN and NAN concepts of the microgrids. In [13], the authors provided a mechanism for appliance-level peak-time load balance control in a NAN based on the smart grid. Moreover, they presented a scheme to protect residents from the Non-Intrusive Load Monitoring (NILM) attacks.…”
Section: Introductionmentioning
confidence: 99%