The continuous rise in the adoption of emerging technologies such as Internet of Things (IoT) by businesses has brought unprecedented opportunities for innovation and growth. However, due to the distinct characteristics of these emerging IoT technologies like real-time data processing, Self-configuration, interoperability, and scalability, they have also introduced some unique cybersecurity challenges, such as malware attacks, advanced persistent threats (APTs), DoS /DDoS (Denial of Service & Distributed Denial of Service attacks) and insider threats. As a result of these challenges, there is an increased need for improved cybersecurity approaches and efficient management solutions to ensure the privacy and security of communication within IoT networks. One proposed security approach is the utilization of trust-based systems and is the focus of this study. This research paper presents a systematic literature review on the Trust-based cybersecurity security approaches for IoT. A total of 23 articles were identified that satisfy the review criteria. We highlighted the common trust-based mitigation techniques in existence for dealing with these threats and grouped them into three major categories, namely: Observation-Based, Knowledge-Based & Cluster-Based systems. Finally, several open issues were highlighted, and future research directions presented.

翻译：随着企业越来越多地采用物联网（IoT）等新兴技术，创新与增长迎来了前所未有的机遇。然而，由于这些新兴物联网技术具有实时数据处理、自配置、互操作性和可扩展性等独特特征，它们也引入了一些独特的网络安全挑战，例如恶意软件攻击、高级持续性威胁（APT）、拒绝服务/分布式拒绝服务攻击（DoS/DDoS）以及内部威胁。由于这些挑战的存在，迫切需要改进网络安全方法和高效管理解决方案，以确保物联网网络内通信的隐私与安全。一种被提出的安全方法是利用基于信任的系统，这也是本研究的焦点。本文对基于信任的物联网网络安全方法进行了系统文献综述。共筛选出23篇符合评审标准的文章。我们归纳了现有的用于应对这些威胁的常见基于信任的缓解技术，并将其分为三大类：基于观察的系统、基于知识的系统和基于集群的系统。最后，指出了若干开放性问题，并提出了未来的研究方向。