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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

A Blockchain-Based IoT Framework for Oil Field Remote Monitoring and Control

TL;DR: This study proposes a blockchain-based IoT framework for real-time monitoring and control to increase oil field operation and asset efficiency and safety and presents the key components of the framework, including the system architecture, operation flows, algorithms, and smart contracts.
Book ChapterDOI

Smart Wallets on Blockchain—Attacks and Their Costs

TL;DR: This work surveys on different attacks and usecases on the blockchain smart wallets which would help developers to secure the smart wallets and describes each attack with its mechanism, usecase, benefits and requirements of attacker for successful attack.
Journal ArticleDOI

Resourcing, sensemaking and legitimizing: blockchain technology-enhanced market practices

TL;DR: In this paper , the authors adopt a qualitative multimethod research design to engage in interpretative theorizing, focusing on how the use of new technologies disrupts markets and investigate the link between market practices and new technologies.
Posted Content

Crypto-technologies & blockchain, artefacts distribués au service de la gouvernance des communs

TL;DR: Rozas et al. as mentioned in this paper discuss how the formes d'organisations distribuées ou autonomes and the gouvernance des communs are susceptible to bénéficier de lémergence and de la mobilisation of ces technologies.
Proceedings ArticleDOI

Black-Box IoT: Authentication and Distributed Storage of IoT Data from Constrained Sensors

TL;DR: In this paper, the authors proposed a new ultra-lightweight black-box system for authenticating and storing IoT data, which is tailored for deployment on IoT devices (including low-size Weight and Power sensors) which are extremely constrained in terms of computation, storage and power.
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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