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Block Chain-based access control and intrusion detection system in IoD

机译:基于块的IOD基于基于的访问控制和入侵检测系统

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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.
机译:无人机(IOD)是一个分层网络,由于其广泛的应用,如包传输,救援行动,流量监控等,因此在研究界中引起了更多的关注。称为无人驾驶飞行器(UAV)的各种无人机部署在各种飞行区域中,以将重要信息传输到地面站服务器(GSS)。因此,安全传输是IOD的主要具有挑战性方面。因此,本文介绍了一种新颖的技术,用于使用新设计的深神经模糊网络系统的有效区块辅助访问控制和入侵检测方法来实现IOD中的安全传输。通常,基于区块链的访问控制主要由四个阶段组成,如预部署,注册,认证和访问控制阶段,用于传送IOD环境中的重要信息。此外,使用所提出的深神经模糊网络检测IOD中的入侵。然而,所提出的方法实现了1.253的最小延迟,最高精度率为88.375,并且在考虑海王星攻击时最大召回量为89.263。

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