Internet of Things (IoT) provides the possibility for milliards of devices throughout the world to communicate with each other, and data are collected autonomously. The big data generated by the devices should be managed securely. Due to security challenges, like malicious nodes, many approaches cannot respond to these concerns. In this paper, a robust hybrid method, including encryption, is used as an efficient approach for resolving the Low‐Power and Lossy Networks (RPL) protocol concerns so that the devices are connected securely. Therefore, the proposed Detection of sinkholes in RPL (DSH‐RPL) method for securing the RPL protocol comprises the four following phases: the first phase creates a reliable RPL. The second phase detects the sinkhole attack. The third phase quarantines the detected malicious node, and the fourth phase transmits data through encryption. The simulation results show that the DSH‐RPL reduces the false‐positive rate more than 18.2% and 23.1% and reduces the false‐negative rate more than 16.1% and 22.78% and it also increases the packet delivery rate more than 19.68% and 25.32% and increases the detection rate more than 26% and 31% compared to SecTrust‐RPL and IBOOS‐RPL.

中文翻译：

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一种基于加密和节点等级的方法以确保IoT生态系统中RPL协议通信的安全

物联网（IoT）为全球数以百万计的设备相互通信提供了可能性，并且数据是自动收集的。设备生成的大数据应得到安全管理。由于存在安全挑战，例如恶意节点，许多方法无法应对这些问题。在本文中，一种强大的混合方法（包括加密）被用作解决低功耗和有损网络（RPL）协议问题的有效方法，从而可以安全地连接设备。因此，为确保RPL协议的安全性而建议的RPL探测漏洞（DSH-RPL）方法包括以下四个阶段：第一阶段创建可靠的RPL。第二阶段检测下沉攻击。第三阶段隔离检测到的恶意节点，第四阶段通过加密传输数据。仿真结果表明，DSH‐RPL将误报率降低了18.2％和23.1％以上，将误报率降低了16.1％和22.78％以上，还将数据包传递速率提高了19.68％和25.32以上。 ％，并且与SecTrust‐RPL和IBOOS‐RPL相比，检测率提高了26％和31％以上。