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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 Study on the Development Trends of the Energy System with Blockchain Technology Using Patent Analysis

TL;DR: It is suggested that the novel communication module such as the combination of the consortium blockchain and the private blockchain cold also provide their own advantages to achieve the purpose of improving system performance and efficiency.
Journal ArticleDOI

A lightweight privacy-preserving and sharing scheme with dual-blockchain for intelligent pricing system of smart grid

TL;DR: Wang et al. as mentioned in this paper proposed a lightweight dual-blockchain privacy protection and sharing solution for smart grid intelligent pricing systems, which can meet the growing demand for secure communication of full-service data of the smart grid.
Journal ArticleDOI

Design a secure and efficient health record transaction utilizing block chain (SEHRTB) algorithm for health record transaction in block chain

TL;DR: The paper indicates the system built in a decentralized computing system to assure trusted third party for conducting computation over patient data without violating the privacy and reduces latency, execution time, and throughput compared than existing approaches.
Proceedings ArticleDOI

Mitigating Routing Misbehavior using Blockchain-Based Distributed Reputation Management System for IoT Networks

TL;DR: This work proposes a blockchain-based reputation management system in IoT networks to overcome the limitation of centralized router RM systems, and develops an optimized group mining process for blockchain technique in order to improve the efficiency of block generation and reduce the resource consumption.
Journal ArticleDOI

Developmental trajectories of blockchain research and its major subfields

TL;DR: Main path analysis was used to determine the key route of citations and identify the developmental trajectories of blockchain technology and its major themes, and the results have significant value for both academics and practitioners.
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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