The Internet of things (IoT) is highly exposed to various attacks due to its sensitive applications, but it is very vulnerable in dealing with these attacks. So, various studies have been introduced to improve IoT security. Most of methods have focused on improving the security of the RPL protocol (Low-Power and Lossy Networks routing protocol) based on the development of trust models. However, most of these researches have considered good and bad behaviors to calculate the value of trust. This way of evaluating trust alone is not enough and it is vulnerable in dealing with some attacks, especially smart attacks (such as on-off attack, selective sending). To improve this issue, in this paper, a method called multi-context trust-based efficient RPL for IoT (MCTE-RPL) is proposed based on RPL development utilizing trust models with intrusion detection system. MCTE-RPL focuses on three important principles, including establishing secure and reliable routing topology, evaluating trust, and detecting malicious nodes. In the first step, the network routing topology is formed based on the trust and conditions of the nodes. In the second step, in accordance with the data exchanges, the trust of the nodes is evaluated and malicious factors are identified. The simulation results using cooja indicated the superiority of MCTE-RPL in improving routing reliability and data exchange compared to previous studies.

中文翻译：

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MCTE-RPL：一种基于多上下文信任的高效物联网 RPL


物联网（IoT）因其敏感应用而高度暴露于各种攻击，但在应对这些攻击时又非常脆弱。因此，人们提出了各种研究来提高物联网安全性。大多数方法都集中在基于信任模型的发展来提高RPL协议（低功耗有损网络路由协议）的安全性。然而，这些研究大多数都考虑了好的和坏的行为来计算信任的价值。仅仅这种评估信任的方式是不够的，并且在应对某些攻击，特别是智能攻击（如开关攻击、选择性发送）时很容易受到攻击。为了改善这个问题，本文在利用入侵检测系统的信任模型进行RPL开发的基础上，提出了一种称为物联网多上下文基于信任的高效RPL（MCTE-RPL）的方法。 MCTE-RPL关注三个重要原则，包括建立安全可靠的路由拓扑、评估信任和检测恶意节点。第一步，根据节点的信任和条件形成网络路由拓扑。第二步，根据数据交换，评估节点的信任度并识别恶意因素。使用cooja的仿真结果表明，与之前的研究相比，MCTE-RPL在提高路由可靠性和数据交换方面具有优越性。