Artificial Intelligence for Cyber-Physical Systems Hardening
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Overview
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.
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Details
- ISBN-13: 9783031162367
- ISBN-10: 3031162366
- Publisher: Springer
- Publish Date: November 2022
- Dimensions: 9.21 x 6.14 x 0.63 inches
- Shipping Weight: 1.16 pounds
- Page Count: 233
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