Privacy Preserving Blockchain with Optimal Deep Learning Model for Smart Cities

作     者：K.Pradeep Mohan Kumar Jenifer Mahilraj D.Swathi R.Rajavarman Subhi R.M.Zeebaree Rizgar RZebari Zryan Najat Rashid Ahmed Alkhayyat 

作者机构：Department of Computing TechnologiesSRM Institute of Science and TechnologyKattankulathurChennai603203India Department of Computer Science and Information TechnologySchool of Engineering and TechnologyKebridehar UniversityKebridehar250Ethiopia Department of Computer Science and EngineeringK.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of Computer Science and EngineeringK.Ramakrishnan College of TechnologyTiruchirappalli621112India Energy DepartmentTechnical College of EngineeringDuhok Polytechnic UniversityDuhokIraq Computer Science DepartmentCollege of ScienceNawroz UniversityDuhokIraq Computer Network DepartmentTechnical College of InformaticsSulaimani Polytechnic UniversitySulaimaniIraq College of Technical EngineeringThe Islamic UniversityNajafIraq 

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

年 卷 期：2022年第73卷第12期

页      面：5299-5314页

核心收录：

学科分类：0710[理学-生物学] 0810[工学-信息与通信工程] 08[工学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Blockchain smart city security intrusion detection system chameleon swarm optimization deep learning parameter tuning 

摘      要：Recently,smart cities have emerged as an effective approach to deliver high-quality services to the people through adaptive optimization of the available *** the advantages of smart cities,security remains a huge challenge to be ***,Intrusion Detection System(IDS)is the most proficient tool to accomplish security in this ***,blockchain exhibits significance in promoting smart city designing,due to its effective characteristics like immutability,transparency,and *** order to address the security problems in smart cities,the current study designs a Privacy Preserving Secure Framework using Blockchain with Optimal Deep Learning(PPSF-BODL)*** proposed PPSFBODL model includes the collection of primary data using sensing ***,z-score normalization is also utilized to transform the actual data into useful ***,Chameleon Swarm Optimization(CSO)with Attention Based Bidirectional Long Short TermMemory(ABiLSTM)model is employed for detection and classification of *** is employed for optimal hyperparameter tuning of ABiLSTM *** the same time,Blockchain(BC)is utilized for secure transmission of the data to cloud *** cloud server is a decentralized,distributed,and open digital ledger that is employed to store the transactions in different methods.A detailed experimentation of the proposed PPSF-BODL model was conducted on benchmark dataset and the outcomes established the supremacy of the proposed PPSFBODL model over recent approaches with a maximum accuracy of 97.46%.