Block Chain-based access control and intrusion detection system in IoD
Subhadra Perumalla, Santanu Chatterjee, Abhishek Kumar · 2021
The Internet of Drones (IoD), a layered network, has attracted more attention among the research community due to its wide range of applications, such as packet transmission, rescue operations, traffic surveillance, and so on. Various drones known as Unmanned Aerial Vehicles (UAVs) are deployed in various flying zones to transmit important information to the Ground station server (GSS). Hence, secure transmission is the major challenging aspect of IoD. Hence, this paper introduces a novel technique for secure transmission in IoD by effective blockchain-assisted access control and intrusion detection approach using the newly devised Deep Neuro-Fuzzy Network system. Typically, Blockchain-based access control consists of mainly four phases, like pre-deployment, registration, authentication, and access control phase for transferring the crucial information in the IoD environment. Besides, intrusion in IoD is detected using the proposed Deep Neuro-Fuzzy Network. However, the proposed approach achieved a minimum delay of 1.253, a maximum precision rate of 88.375, and a maximum recall measure of 89.263 while considering the Neptune attack.