Privacy-preserving data aggregation in smart metering systems: an overview

Erkin, Zekeriya; Troncoso-Pastoriza, Juan Ramón; Lagendijk, Reginald L.; Pérez-González, Fernando

doi:10.1109/msp.2012.2228343

Cited by 196 publications

(134 citation statements)

References 15 publications

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“…The binary bits of information signal are separated to I bits and Q bits by serial to parallel converter at input modulator. ASK/OOK signal of binary data is added to modulated signal over I and Q channels [12], [13], [14]. Dual modulators output is connected by summer amplifier, that results ASK/OOK modulator modulated signal.…”

Section: A Design Of Ask/ook Modem With Plc Channelmentioning

confidence: 99%

Untitled

2017

IJET

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Abstract-Smart grids are electric power grids that are more efficient and reliable. These are playing an essential role in modern world.Smart grids, which include a variety of operational and energy measures including smart appliances, smart metersand energy efficiency sources. The important aspects of the smart grids are the electrical power conditioning, production control and distribution of electricity. The smarts are not only focused on elimination of black-and brown-outs, but also on making the grid greener and more efficient, and therefore less costly.Now a day theresearch exercise on these smart grids involves the development in the field of Smart Metering.The inexpensiveness, simple and easy to spread out qualities lie in Power Line Communications (PLC) which made them to use in electrical power grids.This paper presents a scheme of Automatic Meter Reading Systems for Smart Metering network with PLC technology using ASK/OOK'S modulationin rural smart micro-grids. PLC with AMR systems used in power delivery system can monitor and record illegal electricity usage by detecting system which may be additionally added in present network.The PLC with AMR Systems can reducethe illegal usage of electricity and theft in rural areas. Fast and Reliable meter reading collection with less error can be achieved with AMR Systems which eliminates the necessity of physically reading the meters.In this paper, the proposed scheme for Smart Metering has been simulated in MATLAB/SIMULINK software and results are presented successfully. Keywords-Automatic Meter Reading (AMR); Smart Micro-Grid; Smart Metering; Amplitude-Shift Keying / On-Off Keying (ASK/OOK) FSK Modulation and Demodulation; Power Line Communication (PLC); MATLAB/SIMULINK. I. INTRODUCTIONToday's the electricity is generated in large power stations and transmitted by interconnected high voltage transmission lines in grid system. Because of nonexistence of effective transmission system problem, a possible power cut on high voltage transmission lines can affect other grids negatively. For these reasons the request for a new network is emerging but it will be used in network communication system will be more important concept. Now a day the recent world uses smart metering broadly that spread out smart meters in the smart grid development by the great support from the factories and utility industries. There are different technologies such as wireless, fiber optic, and power line communication (PLC) is available for the smart grid communication infrastructure [1]. The modern electricity industries and companies are using this PLC technology in various applications. Smart grid systems improve the power quality and reliability of electrical power systems with reduced time delays. The use of smart metering with PLC is increased day by day which lead to early PLC systems beginning since last decade. Smart metering make use of technology in digital form to increase steadiness, accuracy, safety and electric network productivity from bulk generation, over the distribution ...

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Section: A Design Of Ask/ook Modem With Plc Channelmentioning

confidence: 99%

Untitled

2017

IJET

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“…Recently, Smart Grid has been proposed as the next generation power grid. A Smart Grid is an electrical grid that leverages communication technologies and information processing to gather, process, and act on collected information to improve reliability, efficiency, economics, and sustainability of the power grid in generation, transmission, and distribution [3]. This information-based power grid will help the Utility Companies (UC) to act on consumer information gathered from Smart Meters (SM) at the user's premises.…”

Section: Introductionmentioning

confidence: 99%

“…The topic of smart grid has attracted researchers to study various aspects of modernizing the electricity grid. The research community has been studying miscellaneous subjects such as communication technologies and infrastructure [3,6,7,8,9], legal and policy concerns [10,11], reliability, failure diagnosis and recovery [12,13,14], demandresponse, demand-dispatch, load shaping, and peak-shaving [15,16,17], data aggregation [3,18,19,20,21,22,23] and, last but not the least, security and privacy [4,5,3,24,25,26].…”

Section: Introductionmentioning

confidence: 99%

“…It is worth mentioning that in Smart Grid Networks (SGN), data-oriented privacy is more of interest, as opposed to context-oriented privacy, because it deals with private consumer data. There are also many cyber security related challenges for the deployment of the Smart Grid [3]. This "Internet-like distributed power grid" is vulnerable to many known and unknown cyber security attacks [31].…”

Section: Introductionmentioning

confidence: 99%

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Towards Efficient Privacy Preserving Data Aggregation for Advanced Metering Infrastructure

Alamatsaz¹,

Boustani²,

Alamatsaz³

et al. 2017

IJCNC

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Recent changes to the existing power grid are expected to influence the way energy is pro-vided and consumed by customers. Advanced Metering Infrastructure (AMI) is a tool to incorporate these changes for modernizing the electricity grid. Growing energy needs are forcing government agencies and utility companies to move towards AMI systems as part of larger smart grid initiatives. The smart grid promises to enable a more reliable, sustainable, and efficient power grid by taking advantage of information and communication technologies. However, this information-based power grid can reveal sensitive private information from the user's perspective due to its ability to gather highly-granular power consumption data. This has resulted in limited consumer acceptance and proliferation of the smart grid. Hence, it is crucial to design a mechanism to prevent the leakage of such sensitive consumer usage information in smart grid. Among different solutions for preserving consumer privacy in Smart Grid Networks (SGN), private data aggregation techniques have received a tremendous focus from security researchers. Existing privacy-preserving aggregation mechanisms in SGNs utilize cryptographic techniques, specifically homomorphic properties of public-key cryptosystems. Such homomorphic approaches are bandwidth-intensive (due to large output blocks they generate), and in most cases, are computationally complex. In this paper, we present a novel and efficient CDMA-based approach to achieve privacy-preserving aggregation in SGNs by utilizing random perturbation of power consumption data and with limited use of traditional cryptography. We evaluate and validate the efficiency and performance of our proposed privacy-preserving data ag-gregation scheme through extensive statistical analyses and simulations.

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“…For example, secure data aggregation protocols can be employed for smart metering in order to collect real-time readings of the overall energy consumption of a group of customers without leaking the instantaneous energy consumption of individual customers [1]. Protocols for secure multi-party computation are typically based on secret sharing.…”

Section: Introductionmentioning

confidence: 99%

Wiretap codes for secure multi-party computation

Thobaben

Dán

2014

2014 IEEE Globecom Workshops (GC Wkshps)

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Abstract-In this paper, we propose a new secret sharing scheme for secure multi-party computation. We present a general framework that allows us to construct efficient secret sharing schemes from channel coding techniques for the wiretap channel. The resulting schemes can be employed to securely calculate linear functions of data that are distributed in a network without leaking any information on the data except the desired result. For the examples considered in this paper, our schemes minimize the communication overhead while keeping the data perfectly secure. Compared to conventional schemes, for which the communication overhead grows quadratically in the number of clients in the considered scenarios, the communication overhead for our approach grows only linearly with the number of clients. This property is maintained even if our secret sharing scheme is set up to introduce redundancy in order to compensate for losses of secret shares. While we only consider the case of passive eavesdroppers and implementations based on nested Reed-Solomon codes in this paper, the proposed framework can also be applied in other cases (e.g., when clients tamper with the data) by taking into account the effects of attacks in the design of the underlying wiretap code.

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Privacy-preserving data aggregation in smart metering systems: an overview

Cited by 196 publications

References 15 publications

Untitled

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Towards Efficient Privacy Preserving Data Aggregation for Advanced Metering Infrastructure

Wiretap codes for secure multi-party computation

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