Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city

Abstract In the digital era, the smart city can become an intelligent society by utilizing advances in emerging technologies. Specifically, the rapid adoption of blockchain technology has led a paradigm shift to a new digital smart city ecosystem. A broad spectrum of blockchain applications promise solutions for problems in areas ranging from risk management and financial services to cryptocurrency, and from the Internet of Things (IoT) to public and social services. Furthermore, the convergence of Artificial Intelligence (AI) and blockchain technology is revolutionizing the smart city network architecture to build sustainable ecosystems. However, these advancements in technologies bring both opportunities and challenges when it comes to achieving the goals of creating a sustainable smart cities. This paper provides a comprehensive literature review of the security issues and problems that impact the deployment of blockchain systems in smart cities. This work presents a detailed discussion of several key factors for the convergence of Blockchain and AI technologies that will help form a sustainable smart society. We discuss blockchain security enhancement solutions, summarizing the key points that can be used for developing various blockchain-AI based intelligent transportation systems. Also, we discuss the issues that remain open and our future research direction, this includes new security suggestions and future guidelines for a sustainable smart city ecosystem.

[1]  Hans-Georg Fill,et al.  Knowledge Blockchains: Applying Blockchain Technologies to Enterprise Modeling , 2018, HICSS.

[2]  Xinhua Jiang,et al.  An Offline Matching Method for Large Scale Trajectories , 2017 .

[3]  Sooyong Park,et al.  Where Is Current Research on Blockchain Technology?—A Systematic Review , 2016, PloS one.

[4]  S. Adarsh,et al.  Parkchain: A Blockchain Powered Parking Solution for Smart Cities , 2019, Front. Blockchain.

[5]  Anne Lafarre,et al.  Bringing the AGM to the 21st Century: Blockchain and Smart Contracting Tech for Shareholder Involvement , 2017 .

[6]  Rajkumar Buyya,et al.  FOCAN: A Fog-supported Smart City Network Architecture for Management of Applications in the Internet of Everything Environments , 2017, J. Parallel Distributed Comput..

[7]  Xue Zhang,et al.  Active semi-supervised framework with data editing , 2012, ICONS 2012.

[8]  Jong Hyuk Park,et al.  S-Detector: an enhanced security model for detecting Smishing attack for mobile computing , 2017, Telecommun. Syst..

[9]  Arafatur Rahman,et al.  Blockchain Security Hole: Issues and Solutions , 2017 .

[10]  Awais Ahmad,et al.  Blockchain technology, improvement suggestions, security challenges on smart grid and its application in healthcare for sustainable development , 2020 .

[11]  Fei-Yue Wang,et al.  Toward a Revolution in Transportation Operations: AI for Complex Systems , 2008, IEEE Intelligent Systems.

[12]  Praveen Kumar Reddy Maddikunta,et al.  Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model , 2020, Electronics.

[13]  Amy Nordrum,et al.  Govern by blockchain dubai wants one platform to rule them all, while Illinois will try anything , 2017, IEEE Spectrum.

[14]  Vallipuram Muthukkumarasamy,et al.  Securing Smart Cities Using Blockchain Technology , 2016, 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

[15]  Marko Vukolic,et al.  Hyperledger fabric: a distributed operating system for permissioned blockchains , 2018, EuroSys.

[16]  Dieter Hogrefe,et al.  Self-managed and blockchain-based vehicular ad-hoc networks , 2016, UbiComp Adjunct.

[17]  Kem Z. K. Zhang,et al.  Blockchain-based sharing services: What blockchain technology can contribute to smart cities , 2016, Financial Innovation.

[18]  PRADIP KUMAR SHARMA,et al.  A Software Defined Fog Node Based Distributed Blockchain Cloud Architecture for IoT , 2018, IEEE Access.

[19]  Zhenzhen Hu,et al.  UPTP Vehicle Trajectory Prediction Based on User Preference Under Complexity Environment , 2017, Wirel. Pers. Commun..

[20]  Juan Carlos De Martin,et al.  Blockchain for the Internet of Things: A systematic literature review , 2016, 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA).

[21]  Gillian Oliver.  International records management standards: the challenges of achieving consensus , 2014 .

[22]  Young-Sik Jeong,et al.  A survey on cloud computing security: Issues, threats, and solutions , 2016, J. Netw. Comput. Appl..

[23]  Jong Hyuk Park,et al.  DistArch-SCNet: Blockchain-Based Distributed Architecture with Li-Fi Communication for a Scalable Smart City Network , 2018, IEEE Consumer Electronics Magazine.

[24]  Marko Vukolic,et al.  Blockchain Consensus Protocols in the Wild , 2017, DISC.

[25]  Jeffrey S. Hickman,et al.  Use of a video monitoring approach to reduce at-risk driving behaviors in commercial vehicle operations , 2011 .

[26]  Shuren Zhou,et al.  Improved VGG Model for Road Traffic Sign Recognition , 2018 .

[27]  Kefa Rabah,et al.  Convergence of AI, IoT, Big Data and Blockchain: A Review , 2018 .

[28]  Adel W. Sadek,et al.  Artificial Intelligence Applications in Transportation , 2007 .

[29]  Neeraj Kumar,et al.  Blockchain-Based Distributed Framework for Automotive Industry in a Smart City , 2019, IEEE Transactions on Industrial Informatics.

[30]  Lihong Huang,et al.  Synchronization Criteria for Discontinuous Neural Networks With Mixed Delays via Functional Differential Inclusions , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[31]  Simon Elias Bibri,et al.  Smart sustainable cities of the future: An extensive interdisciplinary literature review , 2017 .

[32]  Wei Hao,et al.  Reversible Natural Language Watermarking Using Synonym Substitution and Arithmetic Coding , 2018 .

[33]  Jong Hyuk Park,et al.  Blockchain based hybrid network architecture for the smart city , 2018, Future Gener. Comput. Syst..

[34]  Dushantha Nalin K. Jayakody,et al.  Neural-Blockchain-Based Ultrareliable Caching for Edge-Enabled UAV Networks , 2019, IEEE Transactions on Industrial Informatics.

[35]  Kim-Kwang Raymond Choo,et al.  A blockchain future for internet of things security: a position paper , 2017, Digit. Commun. Networks.

[36]  Yi-Gang He,et al.  Neural Network Algorithm for Designing FIR Filters Utilizing Frequency-Response Masking Technique , 2009, Journal of Computer Science and Technology.

[37]  Jin Wang,et al.  Semi-supervised Learning with Generative Adversarial Networks on Digital Signal Mod-ulation Classification , 2018 .

[38]  Antonio Puliafito,et al.  Blockchain and IoT Integration: A Systematic Survey , 2018, Sensors.

[39]  Ian Grigg,et al.  Artificial Intelligence Implementations on the Blockchain. Use Cases and Future Applications , 2019, Future Internet.

[40]  Victor C. M. Leung,et al.  Blockchain and Machine Learning for Communications and Networking Systems , 2020, IEEE Communications Surveys & Tutorials.

[41]  Björn Scheuermann,et al.  Bitcoin and Beyond: A Technical Survey on Decentralized Digital Currencies , 2016, IEEE Communications Surveys & Tutorials.

[42]  Xue Zhang,et al.  Clustering based two-stage text classification requiring minimal training data , 2012, ICONS 2012.

[43]  R. Sherratt,et al.  Adversarial learning for distant supervised relation extraction , 2018 .

[44]  Kyung Sup Kwak,et al.  Interoperable Internet-of-Things platform for smart home system using Web-of-Objects and cloud , 2018 .

[45]  Philipp Paech.  Securities, Intermediation and the Blockchain - An Inevitable Choice between Liquidity and Legal Certainty? , 2016 .

[46]  Yang Xu,et al.  Towards Secure Network Computing Services for Lightweight Clients Using Blockchain , 2018, Wirel. Commun. Mob. Comput..

[47]  Xiao-Zhi Gao,et al.  Artificial Neural Network based Smart and Energy Efficient Street Lighting System: A Case Study for Residential area in Hosur , 2019, Sustainable Cities and Society.

[48]  Ross P. Buckley,et al.  The Distributed Liability of Distributed Ledgers: Legal Risks of Blockchain , 2017 .

[49]  Vigna Kumaran Ramachandaramurthy,et al.  Application and assessment of internet of things toward the sustainability of energy systems: Challenges and issues , 2020 .

[50]  Jinjun Chen,et al.  External integrity verification for outsourced big data in cloud and IoT: A big picture , 2015, Future Gener. Comput. Syst..

[51]  Jun Li,et al.  Secure and Energy-Efficient Handover in Fog Networks Using Blockchain-Based DMM , 2018, IEEE Communications Magazine.

[52]  Hsing-Chung Chang,et al.  Highway Deformation Monitoring Based on an Integrated CRInSAR Algorithm - Simulation and Real Data Validation , 2018, Int. J. Pattern Recognit. Artif. Intell..

[53]  Simon Elias Bibri,et al.  The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability , 2018 .

[54]  Zhipeng Cai,et al.  FakeMask: A Novel Privacy Preserving Approach for Smartphones , 2016, IEEE Transactions on Network and Service Management.

[55]  Kin Keung Lai,et al.  A multiscale neural network learning paradigm for financial crisis forecasting , 2010, Neurocomputing.

[56]  Jong Hyuk Park,et al.  Secure clouds forensic investigative architecture for social network cloud , 2016 .

[57]  Keqin Li,et al.  A Self-Adaptive Bell–LaPadula Model Based on Model Training With Historical Access Logs , 2018, IEEE Transactions on Information Forensics and Security.

[58]  Marcel Antal,et al.  Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids , 2018, Sensors.

[59]  Jong Hyuk Park,et al.  Block-VN: A Distributed Blockchain Based Vehicular Network Architecture in Smart City , 2017, J. Inf. Process. Syst..

[60]  Mohamed Amine Ferrag,et al.  Blockchain Technologies for the Internet of Things: Research Issues and Challenges , 2018, IEEE Internet of Things Journal.

[61]  Douglas C. Schmidt,et al.  Applying Software Patterns to Address Interoperability in Blockchain-based Healthcare Apps , 2017, ArXiv.

[62]  Saraju P. Mohanty,et al.  Preserving Data Privacy via Federated Learning: Challenges and Solutions , 2020, IEEE Consumer Electronics Magazine.

[63]  Javier López,et al.  Modelling trust dynamics in the Internet of Things , 2017, Inf. Sci..

[64]  Zhaohui Liu,et al.  Multi-objective comprehensive evaluation approach to a river health system based on fuzzy entropy† , 2014, Mathematical Structures in Computer Science.

[65]  Jong Hyuk Park,et al.  SH-SecNet: An enhanced secure network architecture for the diagnosis of security threats in a smart home , 2017 .

[66]  Ahmed Banafa,et al.  IoT and Blockchain Convergence: Benefits and Challenges , 2017 .

[67]  G. Meera Gandhi,et al.  Artificial Intelligence Integrated Blockchain For Training Autonomous Cars , 2019, 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM).

[68]  Hani S. Mahmassani,et al.  ARTIFICIAL INTELLIGENCE-BASED SYSTEM REPRESENTATION AND SEARCH PROCEDURES FOR TRANSIT ROUTE NETWORK DESIGN , 1992 .

[69]  Tigang Jiang,et al.  Blockchain-Based Internet of Vehicles: Distributed Network Architecture and Performance Analysis , 2019, IEEE Internet of Things Journal.

[70]  Praveen Kumar Reddy Maddikunta,et al.  A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU , 2020, Electronics.

[71]  Mohsen Guizani,et al.  Privacy-Preserving Support Vector Machine Training Over Blockchain-Based Encrypted IoT Data in Smart Cities , 2019, IEEE Internet of Things Journal.

[72]  David C. Mills,et al.  Distributed Ledger Technology in Payments, Clearing, and Settlement , 2016 .

[73]  Bamidele Adebisi,et al.  Internet of Things: Evolution and technologies from a security perspective , 2020, Sustainable Cities and Society.

[74]  Yan Wang,et al.  A survey on security and privacy issues of blockchain technology , 2018, Math. Found. Comput..

[75]  Oluwarotimi Williams Samuel,et al.  Adaptive context aware decision computing paradigm for intensive health care delivery in smart cities—A case analysis , 2017, Sustainable Cities and Society.

[76]  Tshilidzi Marwala,et al.  Blockchain and Artificial Intelligence , 2018, ArXiv.

[77]  Zibin Zheng,et al.  An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends , 2017, 2017 IEEE International Congress on Big Data (BigData Congress).

[78]  Cong Wang,et al.  Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing , 2010, 2010 Proceedings IEEE INFOCOM.

[79]  Guozhen Zhang,et al.  Blockchain-Based Data Sharing System for AI-Powered Network Operations , 2018, Journal of Communications and Information Networks.

[80]  Maria-Lluïsa Marsal-Llacuna.  Future living framework: Is blockchain the next enabling network? , 2017 .

[81]  Peng Jiang,et al.  A Survey on the Security of Blockchain Systems , 2017, Future Gener. Comput. Syst..

[82]  Shanping Li,et al.  Exploring the Application of Blockchain Technology to Combat the Effects of Social Loafing in Cross Functional Group Projects , 2017, OpenSym.

[83]  Min Wu,et al.  Robust decentralized direct adaptive output feedback fuzzy control for a class of large-sale nonaffine nonlinear systems , 2011, Inf. Sci..

[84]  Seung Yeob Nam,et al.  Regional Blockchain for Vehicular Networks to Prevent 51% Attacks , 2019, IEEE Access.

[85]  Ittay Eyal,et al.  Blockchain Technology: Transforming Libertarian Cryptocurrency Dreams to Finance and Banking Realities , 2017, Computer.

[86]  Gihwan Cho,et al.  CoAR: Congestion-Aware Routing Protocol for Low Power and Lossy Networks for IoT Applications , 2018, Sensors.

[87]  Salil S. Kanhere,et al.  BlockChain: A Distributed Solution to Automotive Security and Privacy , 2017, IEEE Communications Magazine.

[88]  Zhen-Yu Wang,et al.  Decentralized adaptive fuzzy control for a class of large-scale MIMO nonlinear systems with strong interconnection and its application to automated highway systems , 2014, Inf. Sci..

[89]  Volodymyr Pasichnyk,et al.  Cloud computing technologies in “smart city” projects , 2017, 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

[90]  Jong Hyuk Park,et al.  Blockchain Security in Cloud Computing: Use Cases, Challenges, and Solutions , 2017, Symmetry.

[91]  Lihong Huang,et al.  Finite-Time Stabilization of Delayed Memristive Neural Networks: Discontinuous State-Feedback and Adaptive Control Approach , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[92]  Arshdeep Bahga,et al.  Blockchain Platform for Industrial Internet of Things , 2016 .

[93]  Yury Yanovich,et al.  Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare , 2015, Oncotarget.

[94]  Maher A. El-Hallaq,et al.  Blockchain in Smart Cities: Exploring Possibilities in Terms of Opportunities and Challenges , 2019, Journal of Data Analysis and Information Processing.

[95]  Shiming He,et al.  PPNC: Privacy Preserving Scheme for Random Linear Network Coding in Smart Grid , 2017, KSII Trans. Internet Inf. Syst..

[96]  Madhusudan Singh,et al.  Previous work : Blockchain technology for Intelligent Transportation System , 2017 .

[97]  Orlenys López-Pintado,et al.  Caterpillar: A Blockchain-Based Business Process Management System , 2017, BPM.