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.

中文翻译：

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基于多级信任的智能模式，用于使用加密身份验证保护物联网 (IoT) 免受安全威胁

物联网 (IoT) 能够提供对链接、通用和智能节点的预测，这些节点在提供服务时具有自主交互。由于具有广泛的开放性、相对较高的处理能力以及物联网事物的广泛分布，它们非常适合灰洞攻击。在灰洞攻击中，攻击者将自己伪装成到达目的地的最短路径。这会导致路由数据包无法到达目的地。所提出的方法基于 AODV 路由协议，并以 MTISS-IoT 名称呈现，这意味着使用校验节点信息减少灰洞攻击。在本文中，提出了一种基于密码认证的混合方法。所提出的方法包括四个阶段，例如验证物联网中的节点信任、测试路由、灰洞攻击发现，以及MTISS-IoT中的恶意攻击消除过程。此处通过在 NS-3 环境中进行的大量模拟来评估该方法。四种场景的实验结果表明，MTISS-IoT方法在发起灰洞攻击时可以达到14.104%的误报率、17.49%的误报率和94.5%的检出率。