Federated Learning with Blockchain Assisted Image Classification for Clustered UAV Networks

作     者：Ibrahim Abunadi Maha M.Althobaiti Fahd N.Al-Wesabi Anwer Mustafa Hilal Mohammad Medani Manar Ahmed Hamza Mohammed Rizwanullah Abu Serwar Zamani 

作者机构：Department of Information SystemsPrince Sultan UniversityRafha StreetRiyadh11586Saudi Arabia Department of Computer ScienceCollege of Computing and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer ScienceCollege of Science&Art at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Faculty of Computer and ITSana’a UniversitySana’a61101Yemen Department of Computer and Self DevelopmentPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Information SystemsCollege of Science&Art at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第72卷第7期

页      面：1195-1212页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：We deeply acknowledge Taif University for supporting this research through Taif University Researchers Supporting Project Number(TURSP-2020/328) Taif University Taif Saudi Arabia 

主　　题：UAV networks clustering secure communication blockchain federated learning image classification 

摘      要：The evolving“Industry 4.0domain encompasses a collection of future industrial developments with cyber-physical systems(CPS),Internet of things(IoT),big data,cloud computing,***,the industrial Internet of things(IIoT)directs data from systems for monitoring and controlling the physical world to the data processing system.A major novelty of the IIoT is the unmanned aerial vehicles(UAVs),which are treated as an efficient remote sensing technique to gather data from large *** are commonly employed in the industrial sector to solve several issues and help decision *** the strict regulations leading to data privacy possibly hinder data sharing across autonomous *** learning(FL)becomes a recent advancement of machine learning(ML)which aims to protect user *** this aspect,this study designs federated learning with blockchain assisted image classification model for clustered UAV networks(FLBIC-CUAV)on IIoT *** proposed FLBIC-CUAV technique involves three major processes namely clustering,blockchain enabled secure communication and FL based image *** UAV cluster construction process,beetle swarm optimization(BSO)algorithm with three input parameters is designed to cluster the UAVs for effective *** addition,blockchain enabled secure data transmission process take place to transmit the data from UAVs to cloud ***,the cloud server uses an FL with Residual Network model to carry out the image classification process.A wide range of simulation analyses takes place for ensuring the betterment of the FLBIC-CUAV *** experimental outcomes portrayed the betterment of the FLBIC-CUAV approach over the recent state of art methods.