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首页> 外文期刊>Journal of network and computer applications >Trust and reputation for Internet of Things: Fundamentals, taxonomy, and open research challenges
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Trust and reputation for Internet of Things: Fundamentals, taxonomy, and open research challenges

机译：物联网的信任和声誉：基础知识，分类法和开放研究挑战

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摘要

Internet of things (IoT) is a contemporary technology, which links a tremendous number of devices with each other to ease the life via many useful services such as information exchange, monitoring, and control. IoT comprises different types of entities such as sensors and RFID tags, which mostly deployed in unattended, sensitive, and hostile territories. Due to rapid scalability and high heterogeneity, traditional security approaches fails to provide adequate security mechanisms for the current IoT infrastructure. The possibility of insecure and unattended deployment make some of IoT's entities subject to be captured physically by the attackers. As a result, the victim device can be exploited as a gateway to compromise the entire network. Furthermore, an entity may not work correctly because of resources constraints or instability of networks link. Recently, trust and reputation (TR) extended in IoT to monitor the behaviors deviation of IoT entities. Many TR models introduced, to incorporate the trust concepts in IoT as a new security paradigm. In this study, we provide thematic taxonomy for trust in IoT, considering several issues such as understanding of trust entity roles, trust properties, trust applications, levels of trust management, trust metrics, trust computation schemes and attacks on TR. Finally, the survey presents advances and open research challenges in the IoT's trust.
机译：物联网（IoT）是一项当代技术，它通过大量有用的服务（例如信息交换，监视和控制）将大量设备彼此链接起来，以简化生活。物联网由不同类型的实体组成，例如传感器和RFID标签，它们大多部署在无人看管，敏感和敌对的地区。由于快速的可扩展性和高度的异构性，传统的安全方法无法为当前的物联网基础设施提供足够的安全机制。不安全和无人值守部署的可能性使某些物联网实体容易受到攻击者的物理捕获。结果，可以将受害设备用作网关，以破坏整个网络。此外，由于资源限制或网络链接的不稳定，实体可能无法正常工作。最近，物联网中的信任和声誉（TR）扩展到监视物联网实体的行为偏差。引入了许多TR模型，以将信任概念作为新的安全范例纳入IoT。在这项研究中，我们为物联网中的信任提供了主题分类法，其中考虑了一些问题，例如对信任实体角色，信任属性，信任应用程序，信任管理级别，信任度量，信任计算方案和对TR的攻击的理解。最后，该调查提出了物联网信任方面的进步和开放研究挑战。

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