Recent Advances in Internet of Things Security (Hardcover, 1)

Chapter 1 Strengthening IIoT Security: Integrating Intrusion Detection Systems with Machine Learning Chapter 2 IoT Anomaly Detection: Federated and Split Learning?Chapter 3 Machine Learning Based Detection in Wireless Sensor Networks?Chapter 4 A Secure Approach for Next-Generation IoT Networks: A comparative Analysis?Chapter 5 Efficient ECC-Based RFID Authentication for Enhanced IoT Security?Chapter 6 An AI-based embedded system for access control and absence management Chapter 7 A new perspective on E-health Perforated Blockchain: An Intelligent Healthcare Revolution using Trigger-Based Supervised Classification?Chapter 8 Machine Learning for Security Boosting in Internet of Things Environments?Chapter 9 Combined machine learning for anomaly detection in IoT aggregator Rpi Chapter 10 An Efficient Intrusion Detection System for IoT using XGBoost and Feature Selection Chapter 11 A Monitoring System with Deep Learning for IoT Smart Environments Security Chapter 12 An intrusion detection system using Paragraph Vector-Distributed Memory Approach Chapter 13 Advanced security of blockchain authentication system using zero-knowledge protocol Chapter 14 Intelligent Phishing URL Classification using CNN Chapter 15 The Impact of AI and Automation on Digital Forensic Investigations Chapter 16 The Impact of ChatGPT on Cybersecurity: Balancing Benefits Against Risks Chapter 17 Design of an unpredictable Secure PRNG Using Collaborative Linear Feedback Shift Registers Chapter 18 Building Trust with Blockchain: Exploring Its Diverse Applications Chapter 19 ML-Based Detection of GPS Jamming Attacks on Un-manned Aerial Vehicles Chapter 20 A Comparative Analysis of Random Forest and Isolation Forest Intrusion Detection Systems?Chapter 21 A Collaborative Anomaly Detection Model using QRNN and Blockchain?Chapter 22 Iterated-Greedy with Tabu Search Solving Flow shop Scheduling Problem