Privacy-Preserving Energy Trading: A TEE-Based Blockchain Solution Using Secret Network

Privacy-Preserving Energy Trading: A TEE-Based Blockchain Solution Using Secret Network

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연구 분야: Infrastructure

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학회: BSCI '25: Proceedings of the 7th ACM International Symposium on Blockchain and Secure Critical Infrastructure

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초록

Peer-to-peer (P2P) energy trading in the smart grid, powered by blockchain networks, enables secure and transparent transactions between prosumers and consumers. However, it also introduces privacy challenges, as sensitive transaction data—such as energy usage, pricing, and trading activities—is publicly recorded on the blockchain, increasing the risk of unauthorized access and potential privacy breaches. To solve this, we propose a Trusted Execution Environment (TEE)-enabled P2P energy marketplace on the Secret Network to conceal trader identities and energy consumption metrics, ensuring privacy while preventing unauthorized access to sensitive transaction data. Our solution utilizes Intel SGX enclaves at validator nodes to execute smart contracts on encrypted data, ensuring privacy and preventing unauthorized access. The core components include a Scheduler contract that batches and shuffles orders with dummy transactions to obscure actual order details and an Orderbook contract that securely matches trades within TEEs. Additionally, a lightweight off-chain Dispatcher triggers periodic order releases, while a matching bot facilitates on-chain trade execution, enabling atomic token swaps between a private stablecoin (sUSDT) and energy tokens (sET). We implement and evaluate our solution on the Secret Network testnet. Results demonstrate that our privacy enhancements introduce minimal overhead; for example, each complete order placement costs as little as $0.00083, and batched execution scales efficiently—the cost per trade decreases by up to 34% when batching 36 orders.

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