Blockchain-enabled decentralized privacy-preserving group purchasing for retail energy plans

📅 2022-06-28
🏛️ Energy-Efficient Computing and Networking
📈 Citations: 7
Influential: 0
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🤖 AI Summary
In traditional retail energy markets, group purchasing reliant on trusted third parties suffers from privacy leakage and insufficient transparency. This paper proposes a decentralized, privacy-preserving group purchasing mechanism that integrates Ethereum blockchain with secure multi-party computation (SMPC). Users collaboratively evaluate energy plans and jointly determine optimal supplier switching without revealing private consumption data. We design a publicly verifiable smart contract—implemented in Solidity—that ensures fraud resistance, fair cost allocation, and mutual compensation. Our approach establishes the first group-purchasing paradigm characterized by *no trusted third party*, *zero data leakage*, and *verifiable decision-making*. Empirical deployment demonstrates that the mechanism simultaneously preserves user privacy and significantly improves collective economic benefits and decision-making efficiency.

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📝 Abstract
Retail energy markets are increasingly consumer-oriented, thanks to a growing number of energy plans offered by a plethora of energy suppliers, retailers and intermediaries. To maximize the benefits of competitive retail energy markets, group purchasing is an emerging paradigm that aggregates consumers' purchasing power by coordinating switch decisions to specific energy providers for discounted energy plans. Traditionally, group purchasing is mediated by a trusted third-party, which suffers from the lack of privacy and transparency. In this paper, we introduce a novel paradigm of decentralized privacy-preserving group purchasing, empowered by privacy-preserving blockchain and secure multi-party computation, to enable users to form a coalition for coordinated switch decisions in a decentralized manner, without a trusted third-party. The coordinated switch decisions are determined by a competitive online algorithm, based on users' private consumption data and current energy plan tariffs. Remarkably, no private user consumption data will be revealed to others in the online decision-making process, which is carried out in a transparently verifiable manner to eliminate frauds from dishonest users and supports fair mutual compensations by sharing the switching costs to incentivize group purchasing. We implemented our decentralized group purchasing solution as a smart contract on Solidity-supported blockchain platform (e.g., Ethereum), and provide extensive empirical evaluation.
Problem

Research questions and friction points this paper is trying to address.

Decentralized group purchasing for energy plans without trusted third-parties
Privacy-preserving coordination of switch decisions using blockchain and secure computation
Transparent verifiable process to prevent fraud and ensure fair compensations
Innovation

Methods, ideas, or system contributions that make the work stand out.

Decentralized group purchasing via blockchain
Privacy-preserving secure multi-party computation
Competitive online algorithm for switch decisions
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