A Reliable Blockchain Computation Offloading Scheme for Internet of Things

Chuanjia Yao, Youquan Xian, Chunpei Li, Dongcheng Li, Boyi Wang, Ying Zhao
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Abstract

At present, the integration of blockchain and Internet of Things (IoT) has become a popular concept. Blockchain can provide IoT with a trusted data-sharing and computing environment. Yet the on-chain computing efficiency of blockchain is still limited by the underlying consensus algorithms, but blockchain can offload computation-intensive tasks to off-chain IoT nodes to improve its performance. However, most of the existing computation offloading schemes are incapable to guarantee the reliability of off-chain computing in untrustworthy IoT environments since participants can collude. Therefore, this work aims at improving the reliability of computation offloading. We introduce a voting-based game into our system workflow to enhance the confidence of computation results. Meanwhile, an anonymous node selection algorithm, which depends on a priority assignment method based on Verifiable Random Function (VRF), is designed to improve the quality of selected nodes and avoid the collusion between participants. The extensive results shows that the proposed scheme can achieve competitive performance in terms of fairness, accuracy, and robustness.
一种可靠的物联网区块链计算卸载方案
目前,区块链与物联网(IoT)的融合已经成为一个流行的概念。区块链可以为物联网提供可信的数据共享和计算环境。然而,区块链的链上计算效率仍然受到底层共识算法的限制,但区块链可以将计算密集型任务卸载到链下物联网节点以提高其性能。然而,大多数现有的计算卸载方案都无法保证在不可信的物联网环境下链下计算的可靠性,因为参与者可能相互勾结。因此,本工作旨在提高计算卸载的可靠性。我们在系统工作流程中引入了基于投票的游戏,以提高计算结果的可信度。同时,设计了一种基于可验证随机函数(VRF)优先级分配方法的匿名节点选择算法,以提高所选节点的质量,避免参与者之间的合谋。广泛的结果表明,该方案在公平性、准确性和鲁棒性方面具有竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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