Defense against flooding attacks using probabilistic thresholds in the internet of things ecosystem

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