AI Embedded Assurance for Cyber Systems

Cliff Wang, S.S. Iyengar, Kun Sun (Herausgeber)

Buch | Softcover

XVII, 246 Seiten

2024
Springer International Publishing (Verlag)
978-3-031-42639-1 (ISBN)

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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.

Erscheinungsdatum	15.12.2024
Zusatzinfo	XVII, 246 p. 91 illus., 73 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	Artificial Intelligence • Cyber analysis • Cyber Physics Systems • cyber security • Deep learning • digital forensics • federated learning • gated recurrent unit • Generative Adversarial Network • graph neural networks • information assurance • internet of things • intrusion detection system • machine learning • Natural Language Processing
ISBN-10	3-031-42639-8 / 3031426398
ISBN-13	978-3-031-42639-1 / 9783031426391
Zustand	Neuware