Beschreibung:
Covering cyber security and Industry 4.0 concepts from a management and operational level, this book connects the topics of Industry 4.0 and cyber security together seamlessly. It discusses both the risks and solutions of using cyber security techniques for Industry 4.0.
Part 1 Cyber Security. 1. Efficient Deep Learning Techniques for Security and Privacy in Industry. 2. Crypto-Based Secure Outbound Supply Chain Authentication for Industry 4.0. 3. A Machine Learning-Based Approach for Fruit Grading and Classification. 4. Artificial Intelligence Impact on Pattern Classification in Association with IoT for Advanced Applications. Part 2 Industry 4.0. 5. A Modified Clonal Selection Algorithm Based on Positive Selection Method in AIS to Solve Job-Shop Scheduling Problem. 6. IoT Health Care Devices for Patient Monitoring, 7. Deep Learning Techniques Used for Detection of Disease in Tomato Plants.