With the innovation of embedded devices, the concept of smart marketplace came into existence. A smart marketplace is a platform on which participants can trade multiple resources, such as water, energy, bandwidth. Trust is an important factor in the trading platform, as the participants would prefer to trade with those peers who have a high trust rating. Most of the existing trust management models for smart marketplace only provide a single aggregated trust score for a participant. However, they lack the mechanism to gauge the level of commitment shown by a participant while trading a particular resource. This work aims to provide a fine-grained trust score for a participant with respect to each resource that it trades. Several parameters, such as resource availability, success rate, and turnaround time are used to gauge the participant’s level of commitment, specific to the resource being traded. Moreover, the effectiveness of the proposed model is validated through security analysis against ballot-stuffing and bad-mouthing attacks, along with simulationbased analysis and a comparison in terms of accuracy, false positive, false negative, computational cost and latency. The results indicate that the proposed trust model has 7% better accuracy, 30.13% lower computational cost and 31.74% less latency compared to the existing benchmark model.

中文翻译：

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T-Smart：基于区块链的智能市场的信任模型

随着嵌入式设备的创新，智能市场的概念应运而生。智能市场是参与者可以交易多种资源的平台，例如水、能源、带宽。信任是交易平台中的一个重要因素，因为参与者更愿意与那些信任度高的同行进行交易。大多数现有的智能市场信任管理模型只为参与者提供单一的聚合信任分数。然而，他们缺乏衡量参与者在交易特定资源时表现出的承诺水平的机制。这项工作旨在为参与者提供关于其交易的每种资源的细粒度信任评分。几个参数，如资源可用性、成功率、和周转时间用于衡量参与者的承诺水平，特定于正在交易的资源。此外，通过针对填票和恶意攻击的安全分析，以及基于仿真的分析以及在准确性、误报、漏报、计算成本和延迟方面的比较，验证了所提出模型的有效性。结果表明，与现有的基准模型相比，所提出的信任模型的准确度提高了 7%，计算成本降低了 30.13%，延迟降低了 31.74%。假阴性、计算成本和延迟。结果表明，与现有的基准模型相比，所提出的信任模型的准确度提高了 7%，计算成本降低了 30.13%，延迟降低了 31.74%。假阴性、计算成本和延迟。结果表明，与现有的基准模型相比，所提出的信任模型的准确度提高了 7%，计算成本降低了 30.13%，延迟降低了 31.74%。