Development of Reliable Wireless Communication System for Secure Blockchain-based Energy Trading

Huang, Zhuoxian; Suankaewmanee, Kongrath; Kang, Jiawen; Niyato, Dusit; Sin, Ng Pei

doi:10.1109/jcsse.2019.8864210

Cited by 6 publications

(8 citation statements)

References 10 publications

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“…Tang et al [165] propose an anonymous authentication scheme based on ring signatures, which can realize tracking without exposing user information. In [62] and [57], two solutions are mainly proposed for smart grids as an IoT system. While ensuring security, Jiang et al [62] use smart contracts and DPoS consensus to improve efficiency.…”

Section: Blockchain For Smart Grid Securitymentioning

confidence: 99%

“…Huang at al. [57] employ Sigfox and Ethereum to confirm the feasibility of the solution. The work in [155] mainly describes the security risks in the energy transmission system and the corresponding solutions making use of the decentralization, transparency and immutability properties of blockchain.…”

Section: Blockchain For Smart Grid Securitymentioning

confidence: 99%

“…The work in [95] demonstrates a privacy-preserving network protocol based on multi-level encryption. Guan et al [41] provide a general model based on ciphertext-policy attribute-based encryption and credibilitybased equity proof consensus, which can achieve fine-grained access control through transaction arbitration in the form of [38] Security access -Used -Huang et al [57] Wireless security -Unused Ethereum He et al [51] Market integration Hybrid Unused Double-chain EnergyChain [4] Third party PoW Unused EnergyChain Gai et al [35] Third party PBFT Unused Consortium Gai et al [36] Service optimization PoW Used Permissioned Guan et al [42] Service optimization PoW Unused Private Lu et al [99] Distributed design -Unused -Hua and Sun [55] Distributed design -Used -Juhar et al [1] Distributed design PoS Used Hybrid Deng et al [24] Distributed design -Unused -Keshk et al [68] Distributed design ePoW Unused -Son et al [158] Distributed design -Unused -DeepCoin [33] Anti-attack PBFT Unused -Li et al [83] Anti-attack PBFT Used Consortium ciphertext.…”

Section: Blockchain For Power Grid Privacymentioning

confidence: 99%

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When Blockchain Meets Smart Grids: A Comprehensive Survey

Guo¹,

Wan²,

Cheng³

2021

Preprint

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Recent years have witnessed an increasing interest in the blockchain technology, and many blockchainbased applications have been developed to take advantage of its decentralization, transparency, fault tolerance, and strong security. In the field of smart grids, a plethora of proposals have emerged to utilize blockchain for augmenting intelligent energy management, energy trading, security and privacy protection, microgrid management, and energy vehicles. Compared with traditional centralized approaches, blockchain-based solutions are able to exploit the advantages of blockchain to realize better functionality in smart grids. However, the blockchain technology itself has its disadvantages in low processing throughput and weak privacy protection. Therefore, it is of paramount importance to study how to integrate blockchain with smart grids in a more effective way so that the advantages of blockchain can be maximized and its disadvantages can be avoided.This article surveys the state-of-the-art solutions aiming to integrate the emergent blockchain technology with smart grids. The goal of this survey is to discuss the necessity of applying blockchain in different components of smart grids, identify the challenges encountered by current solutions, and highlight the frameworks and techniques used to integrate blockchain with smart grids. We also present thorough comparison studies among blockchain-based solutions for smart grids from different perspectives, with the aim to provide insights on integrating blockchain with smart grids for different smart grid management tasks. Finally, we list the current projects and initiatives demonstrating the current effort from the practice side. Additionally, we draw attention to open problems that have not yet been tackled by existing solutions, and point out possible future research directions.

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Section: Blockchain For Smart Grid Securitymentioning

confidence: 99%

Section: Blockchain For Smart Grid Securitymentioning

confidence: 99%

Section: Blockchain For Power Grid Privacymentioning

confidence: 99%

See 1 more Smart Citation

When Blockchain Meets Smart Grids: A Comprehensive Survey

Guo¹,

Wan²,

Cheng³

2021

Preprint

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“…The authors of [21] focus on the blockchain energy trading system's Internet of Things (IoT) component. They propose a proof-of-concept with Sigfox for smart meter communication and Ethereum as the blockchain tool.…”

mentioning

confidence: 99%

“…The main contribution of [21] is to IoT communication. They tested the Sigfox technology communication range and concluded that, in a 1 km range, the Sigfox delivery success rate was 100%.…”

mentioning

confidence: 99%

Blockchain Privacy and Scalability in a Decentralized Validated Energy Trading Context with Hyperledger Fabric

Westphall

Martina

2022

Sensors

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Lower renewable energy generator prices are leading people to install solar panels to reduce their electricity bills or, in some cases, even sell the surplus generated energy to the grid and earn credits from the grid operator. Generally, they are limited to trading the energy they generate with the grid company, which has a dominant role in price determination. Decentralized energy markets might increase both market competitiveness and incentive to further people’s adoption of renewable energy, reducing security vulnerabilities and improving resiliency. Blockchain is a widely studied technology to provide decentralization for energy markets in this context. Scalability, privacy, market design, and user security are some of the open research topics. This work analyzes the literature related to blockchain and energy markets, proposes a model, implements it, performs experiments, and analyzes network scalability and data generation. The model, implemented with Hyperledger Fabric, enables validated clean energy trading with anonymized buyers to prevent consumption pattern exposure. The maximum transaction throughput was achieved with 5000 sensors, 5000 buyers, and 5000 sellers. The data generation rate by network and the baseline deployment costs were also analyzed to judge the network viability. Furthermore, this work provides empirical results on a topic that the literature lacks.

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