We invite proposals for workshop on Industrial Control System (ICS) Security to be held at The9th IEEE International Conference on Data Science in Cyberspace. ICS security is a field of cybersecurity that focuses on ensuring the security of ICS functions, software, hardware, networks, and data. The current state of ICS security is characterized by a rapidly evolving threat landscape and an increasing number of threat types. How to combine mature AI and big data analysis technology to protect ICS from attacks and ensure the safety of personnel and facilities is the current focus of ICS security research.

The significance of organizing this workshop is to provide an overview of the current state of ICS security and to discuss the latest trends and best practices in the field. The workshop will cover topics such as zero-trust-based industrial network security access and access control, industrial control equipment firmware security analysis and enhancement, industrial control protocol vulnerability scanning and mining, active intrusion discovery and response.

We hope to bring together researchers in the field of ICS security and big data to present updated research efforts and progresses on ICS security, exchange new ideas and identify future research directions.

1.Industrial data risk analysis
2.Industrial data fusion
3.Crowd testing behavior analysis
4.Vulnerability analysis and mining method for industrial control systems
5.Machine learning for vulnerability analysis
6.Theory and method of endogenous security integration
7.Model and pattern for trusted computing and immunity mechanism
8.Federated Learning, adversarial learning and reinforcement learning
9.Theory and method of multi-dimension data fusion/association
10.Entity and relationship extraction for threat intelligence
11.Security protection and utilization of industrial data
12.Data-driven industrial software vulnerability detection
13.Industrial network security access and access control