Privacy preserving smart metering system based retail level electricity market

Thoma, Cory; Cui, Tao; Franchetti, Franz

doi:10.1109/pesmg.2013.6672616

Cited by 5 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This scheme only works for aggregation of encrypted data. Similar problems are also investigated regarding consumers' privacy protection in [4], [18], [1]. A very few existing works consider the data privacy problem of operational data in the bulk power system.…”

Section: Related Workmentioning

confidence: 99%

Privacy-preserving spectral estimation in smart grid

Tong

Sun

2015

2015 IEEE International Conference on Smart Grid Communications (SmartGridComm)

View full text Add to dashboard Cite

Inter-area Oscillations pose serious threats to the stability of power transmission grids. Failure to notice or to handle inter-area oscillations may lead to widespread catastrophic blackouts. It is, therefore, critically important to monitor the oscillation conditions such that timely mitigation controls can be applied at the early stage. Recent research shows that it is an effective approach to continuously track the frequency domain of ambient phasor measurement units (PMU) data for the monitoring purpose. However, since inter-area oscillations usually involve multiple utility companies, tracking them requires PMU data from some different trust domains, which raises data privacy concerns. To address these concerns, we proposed privacy-preserving multiparty spectral estimation, which enables power grid operators to obtain the power spectrum of PMU measurement data, while the data remain encrypted. A case study was also carried out, which showed that the proposed scheme is secure, efficient, and practical.

show abstract

Section: Related Workmentioning

confidence: 99%

Privacy-preserving spectral estimation in smart grid

Tong

Sun

2015

2015 IEEE International Conference on Smart Grid Communications (SmartGridComm)

View full text Add to dashboard Cite

show abstract

“…In [7] the authors propose a solution to preserve customers' privacy providing encrypted meter reading with the adoption of secret-sharing-based secure multi-party computation techniques. Thoma and Cui in [20] make use of secure multi-party computation to know customers energy demand keeping hided the amount of energy needed by each consumer.…”

Section: Related Workmentioning

confidence: 99%

Privacy-Preserving Energy-Reading for Smart Meter

Costantino

Martinelli

2015

Inclusive Smart Cities and E-Health

View full text Add to dashboard Cite

Smart Meters belong to the Advanced Metering Infrastructure (AMI) and allow customers to monitor locally and remotely the current usage of energy. Providers query Smart Meters for billing purpose or to establish the amount of energy needed by houses. However, reading details sent from smart meters to the energy provider can be used to violate customers' privacy. In this paper, our contribution is twofold: first, we present an architecture to turn traditional energy meters into Smart Meters, and then we illustrate a privacy-preserving solution, which uses Secure Two-party Computation, to preserve customers' privacy during energy-readings. In particular, we deployed a Smart Meter built upon an existing energy meter available in Italy. Then, we collected and analysed an energy trace of two months, and we tag customers hourly/daily/monthly habits by observing their consumes. Finally, we provide the feasibility of our solution to protect customers' privacy.

show abstract

“…It combines homomorphic encryption with homomorphic message authentication codes for preserving customer’s privacy. Later, Thoma et al (2012) proposed secure multiparty computation based privacy preserving protocol for smart metering system. This scheme executes the four conditions, namely, first one is that smart meters will provide detailed users data; second one is it has a verification process; third one is third party is not required; finally, fourth one is that it does not sacrifice the data resolution for proposed smart grid control and management functionalities.…”

Section: Introductionmentioning

confidence: 99%

Adept smart meters using homomorphic encryption based on factor problem over groups

Jalaja

Anjaneyulu

2018

ILS

View full text Add to dashboard Cite

Purpose The purpose of this paper is to replace electronic meters with smart meters. Smart meters will provide high resolution real-time end-user power consumption data for utilities to better monitor and control the system, which is used for end users to better manage their energy usage and bills. By using smart meters, we can reduce the errors and also minimize human intervention in processing information in an efficient way. So that time will be reduced for organization functionalities and accuracy will be increase. Design/methodology/approach The authors propose a new cryptosystem based on factor problem over non commutative groups. They tried to use this cryptosystem in the field of electricity. They extend and transform this projected cryptosystem to design expert smart meters based on homomorphic encryption with factor problem. Findings In these smart meters, a monitoring system is integrated that preserves customer’s privacy by homomorphically accumulating the consumption of all n members of a specific domain. Originality/value This expert smart meter system has a proficient linear O(n) communication cost and is proven to protect customer's privacy even in the presence of a corrupted substation and some malicious smart meters.

show abstract

Privacy preserving smart metering system based retail level electricity market

Cited by 5 publications

References 19 publications

Privacy-preserving spectral estimation in smart grid

Privacy-preserving spectral estimation in smart grid

Privacy-Preserving Energy-Reading for Smart Meter

Adept smart meters using homomorphic encryption based on factor problem over groups

Contact Info

Product

Resources

About