With the development of edge computing technology, the resource-limited Internet of Things (IoT) devices can offload computation-intensive artificial intelligence tasks, such as model training and inference to edge servers through resource trading. However, due to the increase in the number of intelligent applications and the rise of peer-to-peer (P2P) resource trading, the existing resource trading schemes based on the blockchain can no longer meet the needs of efficiency and security at the same time. In this article, a new state channels-based resource trading scheme is proposed for IoT, which can improve scalability without sacrificing security and fairness. In our scheme, most of the trading process could be completed off-chain, and the blockchain is used as an adjudicator to determine malicious behavior according to the users’ actions. Moreover, a method without being reliant on support from third parties is presented to defend against execution forks that must be faced when using the state channels. Finally, the feasibility and efficiency of our scheme are experimentally verified in the realistic testbed.

中文翻译：

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SCRT：一种安全高效的基于状态通道的物联网资源交易方案

随着边缘计算技术的发展，资源受限的物联网（IoT）设备可以通过资源交易将模型训练和推理等计算密集型人工智能任务卸载到边缘服务器。然而，由于智能应用数量的增加和点对点（P2P）资源交易的兴起，现有的基于区块链的资源交易方案已不能同时满足效率和安全的需求. 在本文中，为物联网提出了一种新的基于状态通道的资源交易方案，可以在不牺牲安全性和公平性的情况下提高可扩展性。在我们的方案中，大部分交易过程可以在链下完成，区块链作为裁决者，根据用户的行为判断恶意行为。此外，还提出了一种不依赖第三方支持的方法来防御使用状态通道时必须面对的执行分叉。最后，在实际试验台上对方案的可行性和有效性进行了实验验证。