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A method based on encryption and node rating for securing the RPL protocol communications in the IoT ecosystem

机译:一种基于加密和节点评级的方法,用于保护IOT生态系统中的RPL协议通信

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摘要

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.
机译:事物互联网(IOT)为全世界千年的设备提供了千年,以彼此通信,并且数据是自主收集的。应该安全地管理由设备生成的大数据。由于安全挑战,如恶意节点,许多方法无法响应这些问题。在本文中,一种稳健的混合方法,包括加密,用作解决低功率和有损网络(RPL)协议的有效方法,以便安全地连接。因此,用于固定RPL协议的RPL(DSH-RPL)方法中提出的RPL(DSH-RPL)方法的检测包括以下四个阶段:第一阶段产生可靠的RPL。第二阶段检测到污水孔攻击。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。模拟结果表明,DSH-RPL降低了误报率超过18.2%和23.1%,降低了超过16.1%和22.78%的假负率,并且还增加了额外的包装率超过19.68%和25.32与Sectrust-RPL和IBOOS-RPL相比,%并增加了超过26%和31%的检出率。

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