Optimal Machine Learning Based Privacy Preserving Blockchain Assisted Internet of Things with Smart Cities Environment

被引:39
作者
Al-Qarafi, A. [1 ]
Alrowais, Fadwa [2 ]
Alotaibi, S. Saud [3 ]
Nemri, Nadhem [4 ]
Al-Wesabi, Fahd N. [4 ]
Al Duhayyim, Mesfer [5 ]
Marzouk, Radwa [6 ]
Othman, Mahmoud [7 ]
Al-Shabi, M. [8 ]
机构
[1] Taibah Univ, Dept Informat Syst, Coll Comp Sci & Engn, Medina 42353, Saudi Arabia
[2] Princess Nourah Bint Abdulrahman Univ, Dept Comp Sci, Coll Comp & Informat Sci, POB 84428, Riyadh 11671, Saudi Arabia
[3] Umm Al Qura Univ, Dept Informat Syst, Coll Comp & Informat Syst, Mecca 24382, Saudi Arabia
[4] King Khalid Univ, Dept Comp Sci, Coll Sci & Arts Mahayil, Abha 62529, Saudi Arabia
[5] Prince Sattam Bin Abdulaziz Univ, Dept Comp Sci, Coll Sci & Humanities Aflaj, Al Kharj 16278, Saudi Arabia
[6] Princess Nourah Bint Abdulrahman Univ, Dept Informat Syst, Coll Comp & Informat Sci, POB 84428, Riyadh 11671, Saudi Arabia
[7] Future Univ Egypt, Fac Comp & Informat Technol, Dept Comp Sci, New Cairo 11835, Egypt
[8] Taibah Univ, Dept Management Informat Syst, Coll Business Adm, Medina 42353, Saudi Arabia
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 12期
关键词
blockchain assisted IoT; smart city; security; privacy preserving; feature selection; intrusion detection; SECURITY;
D O I
10.3390/app12125893
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Currently, the amount of Internet of Things (IoT) applications is enhanced for processing, analyzing, and managing the created big data from the smart city. Certain other applications of smart cities were location-based services, transportation management, and urban design, amongst others. There are several challenges under these applications containing privacy, data security, mining, and visualization. The blockchain-assisted IoT application (BIoT) is offering new urban computing to secure smart cities. The blockchain is a secure and transparent data-sharing decentralized platform, so BIoT is suggested as the optimum solution to the aforementioned challenges. In this view, this study develops an Optimal Machine Learning-based Intrusion Detection System for Privacy Preserving BIoT with Smart Cities Environment, called OMLIDS-PBIoT technique. The presented OMLIDS-PBIoT technique exploits BC and ML techniques to accomplish security in the smart city environment. For attaining this, the presented OMLIDS-PBIoT technique employs data pre-processing in the initial stage to transform the data into a compatible format. Moreover, a golden eagle optimization (GEO)-based feature selection (FS) model is designed to derive useful feature subsets. In addition, a heap-based optimizer (HBO) with random vector functional link network (RVFL) model was utilized for intrusion classification. Additionally, blockchain technology is exploited for secure data transmission in the IoT-enabled smart city environment. The performance validation of the OMLIDS-PBIoT technique is carried out using benchmark datasets, and the outcomes are inspected under numerous factors. The experimental results demonstrate the superiority of the OMLIDS-PBIoT technique over recent approaches.
引用
收藏
页数:17
相关论文
共 24 条
[1]   Energy Aware Resource Optimization using Unified Metaheuristic Optimization Algorithm Allocation for Cloud Computing Environment [J].
Al-Wesabi, Fahd N. ;
Obayya, Marwa ;
Hamza, Manar Ahmed ;
Alzahrani, Jaber S. ;
Gupta, Deepak ;
Kumar, Sachin .
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2022, 35
[2]   Artificial intelligence enabled intrusion detection systems for cognitive cyber-physical systems in industry 4.0 environment [J].
Alohali, Manal Abdullah ;
Al-Wesabi, Fahd N. ;
Hilal, Anwer Mustafa ;
Goel, Shalini ;
Gupta, Deepak ;
Khanna, Ashish .
COGNITIVE NEURODYNAMICS, 2022, 16 (05) :1045-1057
[3]   Comfort evaluation of ZnO coated fabrics by artificial neural network assisted with golden eagle optimizer model [J].
Amor, Nesrine ;
Noman, Muhammad Tayyab ;
Petru, Michal ;
Sebastian, Neethu .
SCIENTIFIC REPORTS, 2022, 12 (01)
[4]   Heap-based optimizer inspired by corporate rank hierarchy for global optimization [J].
Askari, Qamar ;
Saeed, Mehreen ;
Younas, Irfan .
EXPERT SYSTEMS WITH APPLICATIONS, 2020, 161
[5]   BlockSDN: Blockchain-as-a-Service for Software Defined Networking in Smart City Applications [J].
Aujla, Gagangeet Singh ;
Singh, Maninderpal ;
Bose, Arnab ;
Kumar, Neeraj ;
Han, Guangjie ;
Buyya, Rajkumar .
IEEE NETWORK, 2020, 34 (02) :83-91
[6]  
Bach LM, 2018, 2018 41ST INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), P1545, DOI 10.23919/MIPRO.2018.8400278
[7]   A blockchain future for internet of things security: a position paper [J].
Banerjee, Mandrita ;
Lee, Junghee ;
Choo, Kim-Kwang Raymond .
DIGITAL COMMUNICATIONS AND NETWORKS, 2018, 4 (03) :149-160
[8]   A Novel Intrusion Detection System for Internet of Things Network Security [J].
Bediya, Arun Kumar ;
Kumar, Rajendra .
JOURNAL OF INFORMATION TECHNOLOGY RESEARCH, 2021, 14 (03) :20-37
[9]   BlockSIEM: Protecting Smart City Services through a Blockchain-based and Distributed SIEM [J].
Botello, Juan Velandia ;
Mesa, Andres Pardo ;
Rodriguez, Fabian Ardila ;
Diaz-Lopez, Daniel ;
Nespoli, Pantaleone ;
Marmol, Felix Gomez .
SENSORS, 2020, 20 (16) :1-22
[10]  
Hussien Abdelazim G., 2017, 2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS). Proceedings, P166, DOI 10.1109/INTELCIS.2017.8260031