The Internet of Things (IoT) ecosystem allows communication between billions of devices worldwide that are collecting data autonomously. The vast amount of data generated by these devices must be controlled totally securely. The centralized solutions are not capable of responding to these concerns due to security challenges problems. Thus, the Average Packet Transmission RREQ (APT-RREQ) as an effective solution, has been employed to overcome these concerns to allow for entirely secure communication between devices. In this paper, an approach called LSFA-IoT is proposed that protects the AODV routing protocol as well as the IoT network against flooding. The proposed method is divided into two main phases; The first phase includes a physical layer intrusion and attack detection system used to detect attacks, and the second phase involves detecting incorrect events through APT-RREQ messages. The simulation results indicated the superiority of the proposed method in terms of False Positive Rate (FPR), False Negative Rate (FPR), Detection Rate (DR), and Packet Delivery Rate (PDR) compared to REATO and IRAD. Also, the simulation results show how the proposed approach can significantly increase the security of each thing and network security.

中文翻译：

---

使用物联网生态系统中的概率阈值防御洪水攻击

物联网（IoT）生态系统允许全球数十亿台自动收集数据的设备之间进行通信。这些设备生成的大量数据必须得到完全安全的控制。由于安全挑战问题，集中式解决方案无法响应这些问题。因此，已经采用平均分组传输RREQ（APT-RREQ）作为有效的解决方案来克服这些问题，以允许设备之间的完全安全的通信。在本文中，提出了一种称为LSFA-IoT的方法，该方法可保护AODV路由协议以及IoT网络免受洪泛攻击。所提出的方法分为两个主要阶段：第一阶段包括用于检测攻击的物理层入侵和攻击检测系统，第二阶段涉及通过APT-RREQ消息检测不正确的事件。仿真结果表明，与REATO和IRAD相比，该方法在误报率（FPR），误报率（FPR），检测率（DR）和数据包传递率（PDR）方面具有优势。仿真结果还表明，该方法可以显着提高事物的安全性和网络安全性。