Industry 4.0 Interoperability, Analytics, Security, and Case Studies

Industry 4.0 Interoperability, Analytics, Security, and Case Studies

Rajesh, G.; Dang, Hien; Raajini, X. Mercilin

Taylor & Francis Ltd

10/2024

248

Mole

9780367501136

15 a 20 dias

Descrição não disponível.
1. Big Data Analytics and Machine Learning for Industry 4.0: An Overview 2. Impact of Blockchain-Based Cyber Security Implementing Industry 4.0 3. Hybrid Huffman Tree Model for Securing Medical Data Using Steganography 4. Energy Conservation in IOT-Based Intelligent Transport System 5. Digital Information System for Attack Reduction in Industry 4.0 6. An Intelligent Blockchain-Based Framework for Securing Smart Grid 7. Intelligent Fog Computing for Industrial Wireless Sensor Networks 8. A Secure Data Sharing Scheme Based on Blockchain for Industrial Internet of Things Using Consensus Algorithm 9. Smart Trust Management Scheme for Detecting Attacks in IoT and Ubiquitous Computing 10. IoT-Based Smart Pipeline Leakage Detecting System for Petroleum Industries 11. IOT-Based Smart Irrigation Systems 12. Safety Wing for Industry (SWI 2020) - An Advanced Unmanned Aerial Vehicle Design for Safety and Security Facility Management in Industries 13. An Efficient Decentralized Medical Prescription Tracking Using Blockchain 14. Blockchain for Industry 4.0: An Assessment of Blockchain Adoptability 15. An Effective E-Learning Mechanism to Meet the Learning Demand of Industry 4.0
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CPS.;CPS;Blockchain Technology;Cyber Physical Systems;Gps Module;IoT;IoT Device;Internet of Things;DLT;Lean;Sensor Nodes;Cloud Computing;IoT System;WSN;Huffman Tree;Fog computing;Low Power WPAN;Industry 4.0;Sg;Tcp;Vehicular Cloud;Stego Image;IoT Environment;E-learning Platform;Leakage Detection Method;Industrial IoT;Secret Image;Knowledge Acquisition;Canny Edge Detection Algorithm;Pipeline Leakage;Arduino UNO