A Regulatable Data Privacy Protection Scheme for Energy Transactions Based on Consortium Blockchain

Li, Yufeng; Chen, Yuling; Li, Tao; Ren, Xiaojun

doi:10.1155/2021/4840253

Cited by 4 publications

(3 citation statements)

References 26 publications

(25 reference statements)

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“…It effectively improves the speed of proof generation through secure multiparty computation. Li et al [29] applied the Bulletproof protocol to data privacy protection in energy trading scenarios. They used the Bulletproof protocol to provide range proofs for transaction amounts, hiding the specific transaction amounts.…”

Section: Direct Privacy Protectionmentioning

confidence: 99%

Privacy Protection Method for Blockchain Transactions Based on the Stealth Address and the Note Mechanism

Wei,

Fang,

Hong

et al. 2024

Applied Sciences

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Blockchain is a distributed ledger technology that possesses characteristics such as decentralization, tamper resistance, and programmability. However, while blockchain ensures transaction openness and transparency, transaction privacy is also at risk of being exposed. Therefore, this paper proposes the blockchain transaction privacy protection method based on the stealth address and the note mechanism to address the privacy leakage risk in blockchain public environments. Firstly, the proposed method generates a random seed known only to the parties involved based on the Diffie–Hellman key exchange protocol, ensuring the privacy of transactions. Then, it utilizes the Note Commitments table to maintain the binding relationship between the stealth address and the corresponding note, enabling efficient transfer and verification of note ownership. The uniqueness of the stealth address is utilized as an invalidation identifier for notes in the Nullifier table, ensuring efficient verification of the correctness of note invalidation identifiers. Additionally, this method employs Pedersen commitment and Bulletproofs range proof to generate proof of the legality of transaction amounts, enabling the concealment of transaction amounts and facilitating private transactions between the parties involved. Finally, this paper presents a detailed performance analysis, implementation, and testing of the method. From the results, it can be concluded that the method proposed can effectively prevent fraudulent behavior by various transaction participants and ensure the security, privacy, and integrity of the transaction. Critical processes consume only milliseconds, and the related commitments and proofs are also minimal, which is crucial for controlling transaction costs. At the same time, this method achieves a completely decentralized privacy transaction solution.

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Section: Direct Privacy Protectionmentioning

confidence: 99%

Privacy Protection Method for Blockchain Transactions Based on the Stealth Address and the Note Mechanism

Wei,

Fang,

Hong

et al. 2024

Applied Sciences

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“…On the other hand, they need the help of integrating and processing multiview data, a set of multi‐modal data representing the same thing described by different sensors at different scales. Multiview data can help us understand the relevant properties of objects more deeply than single‐view data 12 …”

Section: Introductionmentioning

confidence: 99%

Magnetic tile fault detection of high‐voltage electric machines: A multiview feature selection method via consistent soft label

Chen,

Yang,

Liu

et al. 2023

Circuit Theory & Apps

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Image‐based scheme has attracted wide attention in the fault detection of high‐voltage permanent magnet motors, but it often suffers from the shooting conditions. Multiview feature selection allows multisource information to be fused, which can improve the accuracy and robustness of image detection. Therefore, we propose multiview unsupervised consistency via soft‐label feature selection (MUCSFS). This method constructs consistent pseudo labels through soft labels from clustering affinity of each view sample and builds the model by integrating selection constraints into the graph model. This model filters the fault data set to obtain the feature subset, which is used for clustering. We verify the method's effectiveness by simulating multiview data. The fault clustering experiment on the high‐voltage motors' magnetic tile fault data set confirm that our method can effectively cluster the fault categories.

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“…The multicenter characteristics of consortium blockchain are more suitable for the status quo of power reform in China. Therefore, most of the distributed energy transaction research based on blockchain currently adopts the application mode of consortium blockchain [5][6][7][8]. Consensus algorithm is the key technology that determines the performance and security of blockchain systems.…”

Section: Introductionmentioning

confidence: 99%

Blockchain Consensus Mechanism for Distributed Energy Transactions

Liu

Cai

et al. 2022

Wireless Communications and Mobile Computing

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In order to reduce the cost of grid dispatching and increase the transparency of energy transactions, the distributed energy transaction model based on blockchain is constructed. At the same time, in order to improve the high communication overhead and low throughput of the traditional PBFT algorithm in the consortium blockchain, an efficient Byzantine fault-tolerant consensus mechanism (DE-BFT) for the energy blockchain is designed. The algorithm improves from two aspect: node election and main chain consensus. In the stage of node election, the model uses a health score evaluation and a verifiable random function to improve the security and randomness of node selection. In the stage of main chain consensus, the efficient data consistency interaction protocol decreases the complexity of the communications between nodes, down to a constant term level from exponential one. The result shows that, compared with other consensus algorithm, the DE-BFT algorithm performs better in terms of consensus delay, communication overhead, throughput, and consensus node reliability.

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A Regulatable Data Privacy Protection Scheme for Energy Transactions Based on Consortium Blockchain

Cited by 4 publications

References 26 publications

Privacy Protection Method for Blockchain Transactions Based on the Stealth Address and the Note Mechanism

Privacy Protection Method for Blockchain Transactions Based on the Stealth Address and the Note Mechanism

Magnetic tile fault detection of high‐voltage electric machines: A multiview feature selection method via consistent soft label

Blockchain Consensus Mechanism for Distributed Energy Transactions

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