论文标题
SOS-RPL：使用基于RPL协议的节点等级和排名机制来确保物联网防止污垢攻击
SoS-RPL: Securing Internet of Things Against Sinkhole Attack Using RPL Protocol-Based Node Rating and Ranking Mechanism
论文作者
论文摘要
通过物联网（IoT），Internet范围是通过将物理事物集成以将自己归类为相互事物的。可以通过这种创造性的看法来创造物理上的事物，以表明自己在数字世界中的意义。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进行的预测，它们主要需要受保护的结构，此外，它们有多次攻击的风险。由于其分布式功能，物联网被特定的路由不服从称为污水坑攻击。在这些攻击中，恶意节点广播了有关路由的虚幻信息，以将自己强加于邻近节点的特定节点的途径，从而吸引数据流量。 RPL（高效和低能网络的IP-V6路由协议）是一种标准路由协议，主要用于传感器网络和IoT中。该协议称为SOS-RPL，由下孔检测的两个关键部分组成。在第一部分中，RPL中的节点是根据距离测量进行的。第二部分是通过平均数据包传输RREQ（APT-RREQ）发现IoT网络中的不当行为来源。在这里，通过在NS-3环境中进行的广泛模拟来评估该技术。根据模拟的结果，可以根据检测率，假阴性率，假阳性率，数据包输送率，最大吞吐量和数据包损耗率来增强IoT网络行为指标。
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.
