Date Arrangement&Address
October 31 2022 - Nov 3 2022 & in Charlotte, North Carolina, USA
Topics of interest include development, analysis methods, technologies, and machine learning models to enhance the reliability, safety, and security of software in CPS, and are not limited to:
1. Reliability, Security, and Safety of Software in CPS
2. Anomaly Detection Using Log
3. Deep Learning for Program Synthesis
4. Inroads in Testing Access Control Using Deep Learning
5. Vulnerability Management
6. Modern Software Quality Assurance
7. Secure Development Life Cycle
8. Security Architecture and Design
9. Software Security Using Deep Learning
10. Privacy-preserving Machine Learning and Data Analytics
11. Intrusion Detection Using Machine Learning
12. Testing, Verification, and Validation Using Deep Learning
13. Software Quality, Metrics and Measurements, Estimation and Prediction of Quality/Reliability
14. Dependability, Survivability, and Resilience Study
15. Supporting Tools and Automation in CPS
16. Empirical Study in CPS
17. Novel Interdisciplinary Research in CPS
