论文标题
基于多级信任的情报模式用于使用加密身份验证的安全威胁保护物联网（IoT）
Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication
论文作者
论文摘要
物联网（IoT）能够提供链接，通用和智能节点的预测，这些节点在提供服务时具有自主互动。由于开放性广泛，加工能力相对较高以及物联网的广泛分布，它们非常适合对灰色洞的攻击。在灰色洞攻击中，攻击者将自己伪造为通往目的地的最短路径，这是这里的事。这会导致路由数据包不到达目的地。所提出的方法基于AODV路由协议，并以mTISS-iot名称呈现，这意味着使用检查节点信息减少灰孔攻击。在本文中，基于密码身份验证提出了一种混合方法。所提出的方法包括四个阶段，例如在物联网中验证节点信任，测试路线，灰洞攻击发现以及MTISS-iot中的恶意攻击消除过程。此方法通过在NS-3环境中进行的大量模拟进行评估。四种情况的实验结果表明，MTISS-IOT方法可以达到14.104％的假正率，假阴性率为17.49％，并且在发射灰孔攻击时的检测率为94.5％。
The internet of things (IoT) is able to provide a prediction of linked, universal, and smart nodes that have autonomous interaction when they present services. Because of wide openness, relatively high processing power, and wide distribution of IoT things, they are ideal for attacks of the gray hole. In the gray hole attack, the attacker fakes itself as the shortest path to the destination that is a thing here. This causes the routing packets not to reach the destination. The proposed method is based on the AODV routing protocol and is presented under the MTISS-IoT name which means for the reduction of gray hole attacks using check node information. In this paper, a hybrid approach is proposed based on cryptographic authentication. The proposed approach consists of four phases, such as the verifying node trust in the IoT, testing the routes, gray hole attack discovery, and the malicious attack elimination process in MTISS-IoT. The method is evaluated here via extensive simulations carried out in the NS-3 environment. The experimental results of four scenarios demonstrated that the MTISS-IoT method can achieve a false positive rate of 14.104%, a false negative rate of 17.49%, and a detection rate of 94.5% when gray hole attack was launched.
