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Journal ArticleDOI

Security and Privacy in Decentralized Energy Trading Through Multi-Signatures, Blockchain and Anonymous Messaging Streams

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TLDR
This paper has implemented a proof-of-concept for decentralized energy trading system using blockchain technology, multi-signatures, and anonymous encrypted messaging streams, enabling peers to anonymously negotiate energy prices and securely perform trading transactions.
Abstract
Smart grids equipped with bi-directional communication flow are expected to provide more sophisticated consumption monitoring and energy trading. However, the issues related to the security and privacy of consumption and trading data present serious challenges. In this paper we address the problem of providing transaction security in decentralized smart grid energy trading without reliance on trusted third parties. We have implemented a proof-of-concept for decentralized energy trading system using blockchain technology, multi-signatures, and anonymous encrypted messaging streams, enabling peers to anonymously negotiate energy prices and securely perform trading transactions. We conducted case studies to perform security analysis and performance evaluation within the context of the elicited security and privacy requirements.

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Citations
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Journal ArticleDOI

Internet of Things security and privacy-preserving method through nodes differentiation, concrete cluster centers, multi-signature, and blockchain:

TL;DR: Experiments show that the proposed method can effectively distinguish between active and inactive nodes, which increases the difficulty of attackers’ attack and effectively protects the security and privacy of Internet of Things nodes and data.
Proceedings ArticleDOI

A Secured and Trusted Demand Response system based on Blockchain technologies

TL;DR: The aim of the proposed work is to introduce a secure and interoperable Demand Response (DR) management platform that will assist Aggregators (or other relevant Stakeholders involved in DR business scenarios) in their decision making mechanisms over their portfolios of prosumers.
Journal ArticleDOI

A comprehensive layered approach for implementing internet of things-enabled smart grid: A survey

TL;DR: In this paper , a comprehensive layered approach has been proposed to classify various applications of the IoT technologies in the power grid, and open issues and future measures for the realization of IoT-enabled smart grid have been discussed.
Proceedings ArticleDOI

Blockchain Based Metering and Billing System Proposal with Privacy Protection for the Electric Network

TL;DR: This study aims to propose an alternative system which uses blockchain technology and Internet of Things (IoT) devices for the metering and billing of the customer for the electric network and the trust and privacy issues are aimed to be solved.
Journal ArticleDOI

Decentralized and Privacy-Preserving Public Auditing for Cloud Storage Based on Blockchain

TL;DR: A decentralized and privacy-preserving public auditing scheme based on blockchain (DBPA), in which a blockchain is utilized as an unpredictable source for the generation of (random) challenge information, and the auditor is required to record the audit process onto the blockchain.
References
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Proceedings ArticleDOI

Smart Grid Privacy via Anonymization of Smart Metering Data

TL;DR: The method described in this paper provides a 3rd party escrow mechanism for authenticated anonymous meter readings which are difficult to associate with a particular smart meter or customer.
Journal ArticleDOI

Dynamic energy-consumption indicators for domestic appliances: environment, behaviour and design

TL;DR: In this paper, the effectiveness of providing paper-based energy-use/saving information with electronic feedback of energy-consumption via smart meters and displays, or "energyconsumption indicators" (ECI) is reviewed.
Book ChapterDOI

Evaluating User Privacy in Bitcoin

TL;DR: This research examines the use of pseudonymity in the Bitcoin network, and the role that it plays in the development of trust and confidence in the system.
Proceedings ArticleDOI

Private memoirs of a smart meter

TL;DR: It is shown that even without a priori knowledge of household activities or prior training, it is possible to extract complex usage patterns from smart meter data using off-the-shelf statistical methods.
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