SoS-RPL：使用基于RPL协议的节点评级和排名机制保护物联网免受Sinkhole攻击
SoS-RPL: Securing Internet of Things Against Sinkhole Attack Using RPL Protocol-Based Node Rating and Ranking Mechanism
摘要：
通过物联网（IoT），互联网范围是通过整合物理事物来建立的，以将它们归类为相互的事物。通过这种创造性的感知，可以创造出一个物理的东西，以在数字世界中表示自己。关于与互联网相关的物理事物，值得注意的是，考虑到许多理论和即将到来的预测，它们大多需要受保护的结构，此外，它们面临着多次攻击的风险。物联网由于其分布式的特点，被赋予了特殊的路由抗命性，称为“天坑攻击”。在这些攻击中，恶意节点广播关于路由的虚假信息，以将其本身作为朝向相邻节点的特定节点的路由，从而吸引数据流量。RPL（IP-V6路由协议，用于高效和低能耗网络）是一种标准路由协议，主要用于传感器网络和物联网。该协议被称为SoS-RPL，包括两个关键部分的天坑检测。在第一部分中，基于距离测量来对RPL中的节点进行评级和排名。第二部分负责通过平均分组传输速率（APT-Risk）发现物联网网络中的不当行为源。在这里，该技术是通过广泛的模拟NS-3环境内进行评估。仿真结果表明，该方法在检测率、漏报率、误报率、数据包传输率、最大吞吐量和丢包率等方面提高了物联网网络行为指标。
英文摘要：
Through the Internet of Things (IoT) the internet scope is established by the integration of physical things to classify themselves into mutual things. A physical thing can be created by this inventive perception to signify itself in the digital world. Regarding the physical things that are related to the internet, it is worth noting that considering numerous theories and upcoming predictions, they mostly require protected structures, moreover, they are at risk of several attacks. IoTs are endowed with particular routing disobedience called sinkhole attack owing to their distributed features. In these attacks, a malicious node broadcasts illusive information regarding the routings to impose itself as a route towards specific nodes for the neighboring nodes and thus, attract data traffic. RPL (IP-V6 routing protocol for efficient and low-energy networks) is a standard routing protocol which is mainly employed in sensor networks and IoT. This protocol is called SoS-RPL consisting of two key sections of the sinkhole detection. In the first section rating and ranking the nodes in the RPL is carried out based on distance measurements. The second section is in charge of discovering the misbehavior sources within the IoT network through, the Average Packet Transmission RREQ (APT-RREQ). Here, the technique is assessed through wide simulations performed within the NS-3 environment. Based on the results of the simulation, it is indicated that the IoT network behavior metrics are enhanced based on the detection rate, false-negative rate, false-positive rate, packet delivery rate, maximum throughput, and packet loss rate.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
