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Machine learning approaches for convergence of IoT and blockchain / / edited by Krishna Kant Singh, Akansha Singh, Sanjay K. Sharma
Machine learning approaches for convergence of IoT and blockchain / / edited by Krishna Kant Singh, Akansha Singh, Sanjay K. Sharma
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley-Scrivener, , [2021]
Descrizione fisica 1 online resource (256 pages)
Disciplina 006.31
Soggetto topico Machine learning
Internet of things
Blockchains (Databases)
ISBN 1-119-76187-5
1-119-76188-3
1-119-76180-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Blockchain and Internet of Things Across Industries -- 1.1 Introduction -- 1.2 Insight About Industry -- 1.2.1 Agriculture Industry -- 1.2.2 Manufacturing Industry -- 1.2.3 Food Production Industry -- 1.2.4 Healthcare Industry -- 1.2.5 Military -- 1.2.6 IT Industry -- 1.3 What is Blockchain? -- 1.4 What is IoT? -- 1.5 Combining IoT and Blockchain -- 1.5.1 Agriculture Industry -- 1.5.2 Manufacturing Industry -- 1.5.3 Food Processing Industry -- 1.5.4 Healthcare Industry -- 1.5.5 Military -- 1.5.6 Information Technology Industry -- 1.6 Observing Economic Growth and Technology's Impact -- 1.7 Applications of IoT and Blockchain Beyond Industries -- 1.8 Conclusion -- References -- 2 Layered Safety Model for IoT Services Through Blockchain -- 2.1 Introduction -- 2.1.1 IoT Factors Impacting Security -- 2.2 IoT Applications -- 2.3 IoT Model With Communication Parameters -- 2.3.1 RFID (Radio Frequency Identification) -- 2.3.2 WSH (Wireless Sensor Network) -- 2.3.3 Middleware (Software and Hardware) -- 2.3.4 Computing Service (Cloud) -- 2.3.5 IoT Software -- 2.4 Security and Privacy in IoT Services -- 2.5 Blockchain Usages in IoT -- 2.6 Blockchain Model With Cryptography -- 2.6.1 Variations of Blockchain -- 2.7 Solution to IoT Through Blockchain -- 2.8 Conclusion -- References -- 3 Internet of Things Security Using AI and Blockchain -- 3.1 Introduction -- 3.2 IoT and Its Application -- 3.3 Most Popular IoT and Their Uses -- 3.4 Use of IoT in Security -- 3.5 What is AI? -- 3.6 Applications of AI -- 3.7 AI and Security -- 3.8 Advantages of AI -- 3.9 Timeline of Blockchain -- 3.10 Types of Blockchain -- 3.11 Working of Blockchain -- 3.12 Advantages of Blockchain Technology -- 3.13 Using Blockchain Technology With IoT -- 3.14 IoT Security Using AI and Blockchain.
3.15 AI Integrated IoT Home Monitoring System -- 3.16 Smart Homes With the Concept of Blockchain and AI -- 3.17 Smart Sensors -- 3.18 Authentication Using Blockchain -- 3.19 Banking Transactions Using Blockchain -- 3.20 Security Camera -- 3.21 Other Ways to Fight Cyber Attacks -- 3.22 Statistics on Cyber Attacks -- 3.23 Conclusion -- References -- 4 Amalgamation of IoT, ML, and Blockchain in the Healthcare Regime -- 4.1 Introduction -- 4.2 What is Internet of Things? -- 4.2.1 Internet of Medical Things -- 4.2.2 Challenges of the IoMT -- 4.2.3 Use of IoT in Alzheimer Disease -- 4.3 Machine Learning -- 4.3.1 Case 1: Multilayer Perceptron Network -- 4.3.2 Case 2: Vector Support Machine -- 4.3.3 Applications of the Deep Learning in the Healthcare Sector -- 4.4 Role of the Blockchain in the Healthcare Field -- 4.4.1 What is Blockchain Technology? -- 4.4.2 Paradigm Shift in the Security of Healthcare Data Through Blockchain -- 4.5 Conclusion -- References -- 5 Application of Machine Learning and IoT for Smart Cities -- 5.1 Functionality of Image Analytics -- 5.2 Issues Related to Security and Privacy in IoT -- 5.3 Machine Learning Algorithms and Blockchain Methodologies -- 5.3.1 Intrusion Detection System -- 5.3.2 Deep Learning and Machine Learning Models -- 5.3.3 Artificial Neural Networks -- 5.3.4 Hybrid Approaches -- 5.3.5 Review and Taxonomy of Machine Learning -- 5.4 Machine Learning Open Source Tools for Big Data -- 5.5 Approaches and Challenges of Machine Learning Algorithms in Big Data -- 5.6 Conclusion -- References -- 6 Machine Learning Applications for IoT Healthcare -- 6.1 Introduction -- 6.2 Machine Learning -- 6.2.1 Types of Machine Learning Techniques -- 6.2.2 Applications of Machine Learning -- 6.3 IoT in Healthcare -- 6.3.1 IoT Architecture for Healthcare System -- 6.4 Machine Learning and IoT.
6.4.1 Application of ML and IoT in Healthcare -- 6.5 Conclusion -- References -- 7 Blockchain for Vehicular Ad Hoc Network and Intelligent Transportation System: A Comprehensive Study -- 7.1 Introduction -- 7.2 Related Work -- 7.3 Connected Vehicles and Intelligent Transportation System -- 7.3.1 VANET -- 7.3.2 Blockchain Technology and VANET -- 7.4 An ITS-Oriented Blockchain Model -- 7.5 Need of Blockchain -- 7.5.1 Food Track and Trace -- 7.5.2 Electric Vehicle Recharging -- 7.5.3 Smart City and Smart Vehicles -- 7.6 Implementation of Blockchain Supported Intelligent Vehicles -- 7.7 Conclusion -- 7.8 Future Scope -- References -- 8 Applications of Image Processing in Teleradiology for the Medical Data Analysis and Transfer Based on IOT -- 8.1 Introduction -- 8.2 Pre-Processing -- 8.2.1 Principle of Diffusion Filtering -- 8.3 Improved FCM Based on Crow Search Optimization -- 8.4 Prediction-Based Lossless Compression Model -- 8.5 Results and Discussion -- 8.6 Conclusion -- Acknowledgment -- References -- 9 Innovative Ideas to Build Smart Cities with the Help of Machine and Deep Learning and IoT -- 9.1 Introduction -- 9.2 Related Work -- 9.3 What Makes Smart Cities Smart? -- 9.3.1 Intense Traffic Management -- 9.3.2 Smart Parking -- 9.3.3 Smart Waste Administration -- 9.3.4 Smart Policing -- 9.3.5 Shrewd Lighting -- 9.3.6 Smart Power -- 9.4 In Healthcare System -- 9.5 In Homes -- 9.6 In Aviation -- 9.7 In Solving Social Problems -- 9.8 Uses of AI-People -- 9.8.1 Google Maps -- 9.8.2 Ridesharing -- 9.8.3 Voice-to-Text -- 9.8.4 Individual Assistant -- 9.9 Difficulties and Profit -- 9.10 Innovations in Smart Cities -- 9.11 Beyond Humans Focus -- 9.12 Illustrative Arrangement -- 9.13 Smart Cities with No Differentiation -- 9.14 Smart City and AI -- 9.15 Further Associated Technologies -- 9.15.1 Model Identification -- 9.15.2 Picture Recognition.
9.15.3 IoT -- 9.15.4 Big Data -- 9.15.5 Deep Learning -- 9.16 Challenges and Issues -- 9.16.1 Profound Learning Models -- 9.16.2 Deep Learning Paradigms -- 9.16.3 Confidentiality -- 9.16.4 Information Synthesis -- 9.16.5 Distributed Intelligence -- 9.16.6 Restrictions of Deep Learning -- 9.17 Conclusion and Future Scope -- References -- Index -- EULA.
Record Nr. UNINA-9910830668203321
Hoboken, New Jersey : , : Wiley-Scrivener, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering blockchain : distributed ledger technology, decentralization, and smart contracts explained / / Imran Bashir
Mastering blockchain : distributed ledger technology, decentralization, and smart contracts explained / / Imran Bashir
Autore Bashir Imran
Edizione [Second edition.]
Pubbl/distr/stampa Birmingham : , : Packt Publishing Ltd, , 2018
Descrizione fisica 1 online resource (656 pages) : illustrations
Soggetto topico Blockchains (Databases)
Electronic funds transfers
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910794625503321
Bashir Imran  
Birmingham : , : Packt Publishing Ltd, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering blockchain : distributed ledger technology, decentralization, and smart contracts explained / / Imran Bashir
Mastering blockchain : distributed ledger technology, decentralization, and smart contracts explained / / Imran Bashir
Autore Bashir Imran
Edizione [Second edition.]
Pubbl/distr/stampa Birmingham : , : Packt Publishing Ltd, , 2018
Descrizione fisica 1 online resource (656 pages) : illustrations
Soggetto topico Blockchains (Databases)
Electronic funds transfers
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910828982503321
Bashir Imran  
Birmingham : , : Packt Publishing Ltd, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mathematical research for blockchain economy : 3rd International Conference MARBLE 2022, Vilamoura, Portugal / / edited by Panos Pardalos, [and three others]
Mathematical research for blockchain economy : 3rd International Conference MARBLE 2022, Vilamoura, Portugal / / edited by Panos Pardalos, [and three others]
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (274 pages)
Disciplina 296
Collana Lecture Notes in Operations Research
Soggetto topico Blockchains (Databases)
ISBN 3-031-18679-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Towards Equity in Proof-of-Work Mining Rewards -- 1 Introduction -- 2 Background & -- Related Work -- 2.1 Reward Protocols -- 2.2 Reward Analyses -- 3 Computational Coinage Framework -- 3.1 Miner Metrics -- 3.2 Blockchain Metrics -- 3.3 Coin Metrics -- 4 Inequity in Bitcoin -- 4.1 Inequitable Hash-Time-to-Issuance -- 4.2 An Increasing Hashcap-to-Coinage Ratio -- 4.3 Subsidy Through the Fungibility Dilution Factor -- 4.4 An Increasing Hash-Restitution Time -- 5 Equitable Reward Constraints -- 5.1 Undiluted Reward Constraints -- 5.2 Prompt Restitution Constraints -- 5.3 Equitable Coin Supply Growth -- 6 Conclusion -- References -- Market Equilibria and Risk Diversification in Blockchain Mining Economies -- 1 Introduction -- 2 Model: Mining Economies -- 3 Proportional Response Dynamics -- 4 Experiments -- 4.1 Data Set and Experimental Setup -- 4.2 Empirical Results -- 5 Conclusions -- A Technical Materials: Proof of Theorem 1 -- References -- On the Impact of Vote Delegation -- 1 Introduction -- 2 Related Literature on Vote Delegation -- 3 Model -- 4 Results -- 4.1 Free Delegation -- 4.2 Capped Delegation -- 4.3 Asymptotic Behavior of Delegation -- 5 Discussion and Conclusion -- References -- Decentralized Governance of Stablecoins with Closed Form Valuation -- 1 Introduction -- 2 Model -- 3 Stackelberg Equilibrium Analysis -- 3.1 TEXT w/o Participation Constraint -- 3.2 TEXT w/ Participation Constraint -- 4 Governance Attack Vector -- 5 Conclusion -- A Derivative Analysis -- A.1 Sensitivity of the Expected Collateral Shortfall -- A.2 Vault Objective Sensitivities -- A.3 GOV Objective Sensitivities -- B Proofs -- References -- Griefing Factors and Evolutionary In-Stabilities in Blockchain Mining Games -- 1 Introduction -- 2 Preliminaries -- 2.1 Model and Nash Equilibrium Allocations.
3 Evolutionary Stable Allocations and Griefing Factors -- 4 Griefing in Blockchain Mining -- 5 Dynamic Adjustments of Mining Allocations -- 6 Conclusions and Open Questions -- A Omitted Proofs -- References -- Data-Driven Analysis of Central Bank Digital Currency (CBDC) Projects Drivers -- 1 Introduction -- 2 Preliminaries -- 2.1 Central Bank Digital Currency (CBDC) -- 2.2 CBDC Project Index (CBDCPI) -- 3 Data and Methodology -- 3.1 Data -- 3.2 Methodology -- 4 Results -- 5 Conclusion -- A Appendix -- A.1 CBDC Projects Status -- A.2 Top 10 Features for the Random Forest Classifier with Aggregated Data -- A.3 Top 10 Features for the Random Forest Classifier with Full Data -- References -- Dissimilar Redundancy in DeFi -- 1 Introduction -- 2 Background -- 2.1 Smart Contracts -- 2.2 Scaling Solutions -- 2.3 Smart Contract Vulnerabilities -- 3 Methodology -- 3.1 Overview -- 3.2 The Technical Challenges -- 4 Evaluation -- 4.1 Development-Time Testing -- 4.2 Real-World Deployment -- 5 Limitations -- 5.1 Transaction Fees -- 5.2 Development Cost -- 5.3 Storage Layout -- 6 Related work -- 6.1 Ethereum Clients -- 6.2 Differential Fuzzing -- 7 Conclusion -- References -- DeFi Survival Analysis: Insights into Risks and User Behaviors -- 1 Introduction -- 2 Methods -- 2.1 Data -- 2.2 Survival Analysis for DeFi -- 3 Results -- 3.1 What do Users do After a Deposit? -- 3.2 How Long Until Borrows are Repaid or Liquidated? -- 3.3 How Does Coin Type Influence Liquidations? -- 4 Related Work -- 5 Discussion and Future Work -- References -- Gas Gauge: A Security Analysis Tool for Smart Contract Out-of-Gas Vulnerabilities -- 1 Introduction -- 1.1 Contributions -- 2 Background -- 2.1 Out-of-Gas Denial of Service Vulnerabilities -- 3 Description of Gas Gauge -- 3.1 Detection Phase -- 3.2 Identification Phase -- 3.3 Correction Phase -- 4 Experimental Evaluation.
4.1 Evaluation of the Detection Phase -- 4.2 Performance Analysis of the Detection Phase -- 4.3 Evaluation of the Identification Phase -- 4.4 The Evaluation of the Correction Phase -- 4.5 Limitations of Gas Gauge -- 5 Case Study -- 6 Related Work -- 7 Conclusions and Future Work -- Appendix A Threshold Calculator Code Modification -- Appendix B Code Modification for Nested Loops -- Appendix C Output of the Correction Phase -- Appendix D Experimental Setup -- Appendix E Factors Impacting the Run-time of the Detection Phase -- Appendix F Evaluation of the Methods for the Identification Phase -- References -- Tweakable mathcalSleeve: A Novel mathcalSleeve Construction Based on Tweakable Hash Functions -- 1 Introduction -- 2 Background -- 3 The Tweakable mathcalSleeve -- 3.1 The Generic Sleeve: GenmathcalSleeve -- 4 Security Analysis -- 4.1 Generic Attack Security and Unforgeability of Fallback Scheme -- 4.2 Tweakable mathcalSleeve is at Least as Secure as an ECDSA One -- 4.3 The Security of GenmathcalSleeve -- 5 Implementation and Performance -- 6 Formal Methods Analysis -- 7 Final Remarks -- A High-level Diagram of the Tweakable mathcalSleeve Construction -- References -- Interhead Hydra: Two Heads are Better than One -- 1 Introduction -- 2 Background -- 3 Overview -- 3.1 The General Setting -- 3.2 The Approach -- 3.3 Desired Properties and Challenges -- 4 The State Machine -- 4.1 The Interhead State Machine -- 5 The Protocols -- 6 Analysis -- 6.1 Security -- 7 Conclusion -- A In-Depth Background -- A.1 EUTxOMA -- A.2 Thread Token -- B Hydra-Specific Concepts -- B.1 General Purpose Token -- B.2 The Multi-Threaded CEM -- C The CEM Construction -- C.1 Parameters -- C.2 The Orderly Phase -- C.3 The Conversion Phase -- C.4 The Punish Phase -- References -- Prediction Markets, Automated Market Makers, and Decentralized Finance (DeFi).
1 Introduction -- 2 Existing Models for Prediction Market Makers -- 2.1 Prediction Market and Market Makers -- 2.2 Logarithmic Market Scoring Rules (LMSR) -- 2.3 Constant Product/Sum/Mean AMMs -- 3 Constant Ellipse AMMs -- 4 Supply-and-Demand, Liquid Sensitivity, and Price Fluctuation -- 4.1 LS-LMSR -- 4.2 Constant Product and Constant Mean -- 4.3 Constant Ellipse -- 4.4 Front Running Attacks Based on Slippage -- 5 Price Amplitude -- 6 Implementation and Performance -- 6.1 Gas Cost and Comparison -- 7 Conclusion -- References -- Wombat-An Efficient Stableswap Algorithm -- 1 Introduction -- 2 Wombat's Design -- 2.1 Wombat's Invariant Curve -- 2.2 Enhanced Wombat's Invariant Curve -- 2.3 Gas Comparison -- 2.4 Swap Mechanism -- 2.5 Slippage Analysis -- 3 Desirable Properties of AMMs -- 3.1 Path Independence -- 3.2 Liquidity Sensitivity -- 4 Arbitrage Block -- 4.1 Changes in the Asset and Liability -- 4.2 Maintain Global Equilibrium with r*=1 -- 4.3 Withdrawal Fees and Deposit Gains -- 5 Swap with Haircut Fees -- 6 Exact Swap, Withdraw, and Deposit when r*=1 -- 7 Conclusions -- A Screenshots of Uniswap and Curve -- B Proof of Theorem 2 -- References -- Multi-Tier Reputation for Data Cooperatives -- 1 Introduction -- 1.1 Problem Definition and Motivation -- 1.2 Our Contributions -- 1.3 Organization of the Paper -- 2 Literature Review -- 2.1 Data Cooperatives -- 2.2 Blockchain Systems -- 2.3 Reputation Systems: Formalization -- 2.4 Multi-Tier Selection Protocol -- 3 Description of the Proposed Blockchain System -- 3.1 Design Requirements for Data Cooperative -- 3.2 Architecture Overview -- 3.3 Choice of Blockchain System -- 3.4 Choice of Reputation System -- 3.5 Reputation as Weighted-Stake -- 4 Security Analysis -- 5 Experimental Results and Discussion -- 5.1 Datasets -- 5.2 Experiments and Discussion -- 6 Conclusion -- References.
Record Nr. UNINA-9910672438603321
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Metaverse: Concept, Content and Context [[electronic resource] /] / by Shenghui Cheng
Metaverse: Concept, Content and Context [[electronic resource] /] / by Shenghui Cheng
Autore Cheng Shenghui
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (230 pages)
Disciplina 004.6
Soggetto topico Computer graphics
Virtual reality
Augmented reality
Blockchains (Databases)
Artificial intelligence
Computer Graphics
Virtual and Augmented Reality
Blockchain
Intelligence Infrastructure
ISBN 3-031-24359-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- About the Author -- Acknowledgments -- List of Figures -- Acronyms -- 1. Metaverse -- 2 Metaverse,Web 3.0,Big Data and AI -- 3 Metaverse and Immersive Interaction Technology -- 4 Metaverse and Blockchain -- 5 Metaverse and Social View -- 6 Asset View of the Metaverse -- 7 Metaverse Security -- 8 Metaverse and Law -- 9 Metaverse and Investing -- 10 The Future of the Metaverse -- Index.
Record Nr. UNINA-9910734900703321
Cheng Shenghui  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Metaverse: Concept, Content and Context [[electronic resource] /] / by Shenghui Cheng
Metaverse: Concept, Content and Context [[electronic resource] /] / by Shenghui Cheng
Autore Cheng Shenghui
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (230 pages)
Disciplina 004.6
Soggetto topico Computer graphics
Virtual reality
Augmented reality
Blockchains (Databases)
Artificial intelligence
Computer Graphics
Virtual and Augmented Reality
Blockchain
Intelligence Infrastructure
ISBN 3-031-24359-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- About the Author -- Acknowledgments -- List of Figures -- Acronyms -- 1. Metaverse -- 2 Metaverse,Web 3.0,Big Data and AI -- 3 Metaverse and Immersive Interaction Technology -- 4 Metaverse and Blockchain -- 5 Metaverse and Social View -- 6 Asset View of the Metaverse -- 7 Metaverse Security -- 8 Metaverse and Law -- 9 Metaverse and Investing -- 10 The Future of the Metaverse -- Index.
Record Nr. UNISA-996546831903316
Cheng Shenghui  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Monnaies cryptées et blockchain : la confiance est-elle un algorithme? / / Pascal Ordonneau
Monnaies cryptées et blockchain : la confiance est-elle un algorithme? / / Pascal Ordonneau
Autore Ordonneau Pascal
Pubbl/distr/stampa Boucherville, Québec ; ; Paris : , : Arnaud Franel Éditions, , [2018]
Descrizione fisica 1 online resource (172 pages)
Disciplina 005.824
Soggetto topico Blockchains (Databases)
Soggetto genere / forma Electronic books.
ISBN 2-89603-651-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Record Nr. UNINA-9910467388003321
Ordonneau Pascal  
Boucherville, Québec ; ; Paris : , : Arnaud Franel Éditions, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Monnaies cryptées et blockchain : la confiance est-elle un algorithme? / / Pascal Ordonneau
Monnaies cryptées et blockchain : la confiance est-elle un algorithme? / / Pascal Ordonneau
Autore Ordonneau Pascal
Pubbl/distr/stampa Boucherville, Québec ; ; Paris : , : Arnaud Franel Éditions, , [2018]
Descrizione fisica 1 online resource (172 pages)
Disciplina 005.824
Soggetto topico Blockchains (Databases)
ISBN 2-38491-023-X
2-89603-651-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Record Nr. UNINA-9910793350303321
Ordonneau Pascal  
Boucherville, Québec ; ; Paris : , : Arnaud Franel Éditions, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Monnaies cryptées et blockchain : la confiance est-elle un algorithme? / / Pascal Ordonneau
Monnaies cryptées et blockchain : la confiance est-elle un algorithme? / / Pascal Ordonneau
Autore Ordonneau Pascal
Pubbl/distr/stampa Boucherville, Québec ; ; Paris : , : Arnaud Franel Éditions, , [2018]
Descrizione fisica 1 online resource (172 pages)
Disciplina 005.824
Soggetto topico Blockchains (Databases)
ISBN 2-38491-023-X
2-89603-651-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Record Nr. UNINA-9910827635903321
Ordonneau Pascal  
Boucherville, Québec ; ; Paris : , : Arnaud Franel Éditions, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Non-fungible tokens (NFTs) : examining the impact on consumers and marketing strategies / / Andrea Sestino, Gianluigi Guido, and Alessandro M. Peluso
Non-fungible tokens (NFTs) : examining the impact on consumers and marketing strategies / / Andrea Sestino, Gianluigi Guido, and Alessandro M. Peluso
Autore Sestino Andrea
Pubbl/distr/stampa Cham, Switzerland : , : Springer International Publishing, , [2022]
Descrizione fisica 1 online resource (109 pages)
Disciplina 005.74
Soggetto topico Blockchains (Databases)
Cryptocurrencies - Law and legislation
ISBN 3-031-07203-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580135703321
Sestino Andrea  
Cham, Switzerland : , : Springer International Publishing, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui