Recent Advances in Internet of Things Security

Chapter 1 Strengthening IIoT security: Integrating intrusion detection systems with machine learning Chapter 2 Scalable 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 Efficient intrusion detection with XGBoost and feature selection Chapter 11 A monitoring system with deep learning for IoT smart dnvironments 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