Introduction.- Machine Learning Construction: implications to cybersecurity.- Machine Learning Assessment: implications to cybersecurity.- A Collection of Datasets for Intrusion Detection in MIL-STD-1553 Platforms.- Unsupervised Anomaly Detection for MIL-STD-1553 Avionic Platforms using CUSUM.- Secure Design of Cyber-Physical Systems at the Radio Frequency Level: Machine and Deep Learning-Driven Approaches, Challenges and Opportunities.- Attack Detection by Using Deep Learning for Cyber-Physical System.- Security and privacy of IoT devices for ageing in place.- Detecting Malicious Attacks Using Principal Component Analysis in Medical Cyber-Physical Systems.- Activity and Event Network Graph and Application to Cyberphysical Security.