AI Embedded Assurance for Cyber Systems

Part. I. AI/ML for Digital Forensics.- Chapter. 1. Writer-dependent Off-line Signature Verification with Neural Networks.- Chapter. 2. Political Activism and Technology.- Chapter. 3. Forensic Proof and Criminal Liability for Development, Distribution and Use of Artificial Intelligence.- Part. II. AI/ML for CPS.- Chapter. 4. Automotive Batteries as Anomaly Detectors.- Chapter. 5. Zero Trust Architecture For Cyber-Physical Power System Security Based on Machine Learning.- Chapter. 6. AI-enabled Real-time Sensor Attack Detection for Cyber-physical Systems.- Part. III. AI/ML for Cyber Analysis.- Chapter. 7. Generating Vulnerable Code via Learning-Based Program Transformation.- Chapter. 8. Security and Privacy Problems in Self-Supervised Learning.- Chapter. 9. Federated Learning for IoT Applications, Attacks and Defense Methods.- Chapter. 10. AI Powered Correlation Technique to Detect VirtualMachine Attacks in Private Cloud Environment.- Chapter. 11. Detecting Fake Users in Online Social Networks.- Chapter. 12. Explaining Deep Learning based Security Applications.- Glossary.- Index.

Dr. Cliff Wang graduated from NCSU with a PhD in computer engineering in 1996. He has been carrying out research in the area of computer vision, medical imaging, high speed networks, and most recently information security. Dr. Wang currently serves as the program director at National Science Foundation. He is a fellow of IEEE and AAAS.Dr. S.S. Iyengar is currently the Distinguished University Professor, Founding Director of the Discovery Lab and Director of the US Army funded Center of Excellence in Digital Forensics at Florida International University, Miami. He is also the Distinguished Chaired Professor (Hon.) at National Forensics Sciences University, Gandhinagar, India. He has been involved with research and education in high-performance intelligent systems, data science and machine learning algorithms, sensor fusion, data mining, and intelligent systems. Since receiving his Ph.D. degree in 1974 from MSU, USA, he has directed over 65 Ph.D. students, 100 Master'sstudents, and many undergraduate students who are now faculty at major universities worldwide or scientists or engineers at national labs/industries around the world. He has published more than 900 research papers and has authored/co-authored and edited 32 books. His books are published by MIT Press, John Wiley and Sons, CRC Press, Prentice Hall, Springer Verlag, IEEE Computer Society Press, etc. More recently in Spring 2021, Dr. Iyengar was awarded $2.25 M in funding for setting up a Digital Forensics Center of Excellence over a period of 5 years (2021-2026). His path-breaking discovery known as Brooks-Iyengar algorithm discovered in 1996 is a milestone in his career. This discovery has led to a breakthrough in the use of sensors in various applications across the globe. By adopting this algorithm, it was possible to use a network of sensors that would give out precise outputs, though few of the sensors receive wrong inputs or faulty sensors. This algorithm is relevant even today and