ElecPrivacy: Evaluating the Privacy Protection of Electricity Management Algorithms

Kalogridis, Georgios; Cepeda, Rafael; Denic, Stojan; Lewis, Tim; Efthymiou, Costas

doi:10.1109/tsg.2011.2160975

Cited by 67 publications

(41 citation statements)

References 11 publications

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“…c) analyze real smart metering information sampled twice a minute over a period of thirteen days and d) appraise the protection offered by completely different power mixture algorithms. Major factors that confirm the potency of the projected power mixture algorithms are known like battery capacity and power, and user preferences for privacy based mostly allocations of battery energy quotas [1]. During this paper, Onion routing is an infrastructure for personal communication over a public network.…”

Section: Related Workmentioning

confidence: 96%

Privacy and Security for Smart Metering System with Fault Controlling Technique

Gobinath¹

2015

IJRITCC

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Abstract:-Smart Metering (SM) is an important and essential element of the upcoming energy network. The importance of smart metering is that it interconnects smart grid elements and functions among a two way communication network. The target is to support an economically efficient sustainable power system with high quality and security. To achieve this objective, advanced smart metering functions might include automated meter readings, distributed energy storage, distributed energy resource management, as well as further energy efficiency mechanisms such as real time optimizations for load shifting and scheduling. In existing system the information transmission security, privacy, meter reading observation between network and client then data transmission monitoring system which can be controlled through Wireless Area Network (WAN). However the information transmission observation system has not economical for fault dominant technique. In proposed system, whole system will be monitored, controlled, data have been secured and also effective load scheduling can be provided for this system too. EB line faults such as short circuit, over voltage and under voltage are monitored and controlled through WAN. It improves the protection and privacy of information transmission between network and client.

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Section: Related Workmentioning

confidence: 96%

Privacy and Security for Smart Metering System with Fault Controlling Technique

Gobinath¹

2015

IJRITCC

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“…To address security and privacy problems, specific techniques can be applied, such as data perturbation techniques in which users broadcast a noisy version of their individual power demand. Additionally, also ESSs can be configured to disguise the actual appliances' electricity consumption [104,105].…”

Section: Deterministic Approach To Dsm For Cooperative Usersmentioning

confidence: 99%

Optimization Models and Methods for Demand-Side Management of Residential Users: A Survey

2014

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Abstract:The residential sector is currently one of the major contributors to the global energy balance. However, the energy demand of residential users has been so far largely uncontrollable and inelastic with respect to the power grid conditions. With the massive introduction of renewable energy sources and the large variations in energy flows, also the residential sector is required to provide some flexibility in energy use so as to contribute to the stability and efficiency of the electric system. To address this issue, demand management mechanisms can be used to optimally manage the energy resources of customers and their energy demand profiles. A very promising technique is represented by demand-side management (DSM), which consists in a proactive method aimed at making users energy-efficient in the long term. In this paper, we survey the most relevant studies on optimization methods for DSM of residential consumers. Specifically, we review the related literature according to three axes defining contrasting characteristics of the schemes proposed: DSM for individual users versus DSM for cooperative consumers, deterministic DSM versus stochastic DSM and day-ahead DSM versus real-time DSM. Based on this classification, we provide a big picture of the key features of different approaches and techniques and discuss future research directions.

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“…Load signature moderation [10,11] is a good privacy preserving method that can be used by customers. It requires the presence of an energy storage facility at the customer premises, such as an old battery from an electrical vehicle.…”

Section: Overview Of Smart Grid Privacy Mechanisms In the Literaturementioning

confidence: 99%

Analysis of the impact of data granularity on privacy for the smart grid

Tudor

Almgren

Papatriantafilou

2013

Proceedings of the 12th ACM Workshop on Workshop on Privacy in the Electronic Society

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The upgrade of the electricity network to the "smart grid" has been intensified in the last years. The new automated devices being deployed gather large quantities of data that offer promises of a more resilient grid but also raise privacy concerns among customers and energy distributors.In this paper, we focus on the energy consumption traces that smart meters generate and especially on the risk of being able to identify individual customers given a large dataset of these traces. This is a question raised in the related literature and an important privacy research topic. We present an overview of the current research regarding privacy in the Advanced Metering Infrastructure. We make a formalization of the problem of de-anonymization by matching low-frequency and high-frequency smart metering datasets and we also build a threat model related to this problem. Finally, we investigate the characteristics of these datasets in order to make them more resilient to the de-anonymization process.Our methodology can be used by electricity companies to better understand the properties of their smart metering datasets and the conditions under which such datasets can be released to third parties.

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ElecPrivacy: Evaluating the Privacy Protection of Electricity Management Algorithms

Cited by 67 publications

References 11 publications

Privacy and Security for Smart Metering System with Fault Controlling Technique

Privacy and Security for Smart Metering System with Fault Controlling Technique

Optimization Models and Methods for Demand-Side Management of Residential Users: A Survey

Analysis of the impact of data granularity on privacy for the smart grid

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