The 1st Workshop on Intelligence, Security and Resilience in Cyber Physical Systems

Download CFP: PDF

With the extensive growth of smart and autonomous devices, as well as corresponding development of software architecture and frameworks in recent years, Cyber Physical Systems (CPS) become attractive enabling efficient end-to-end workflows and new forms of user-machine interaction. On one hand, these CPS applications can provide critical services in various emerging application domains such as energy management, health care, traffic control, industrial measurement and surveillance, etc. On the other hand, the performance of internal functionality and processes highly relies on the design and optimization of intelligent nodes and models, security algorithms and resilient components due to their heterogeneous, evolving and distributed nature.

Recent advancement of Artificial Intelligence and Cyber Security has been well investigated and applied to CPS systems, but still meets the challenges in a large-scale and/or distributed CPS system. In addition, resilient services are critically required in a CPS to provide “acceptance-level” operational normalcy, e.g. state awareness, disturbance recognition and responses, etc.; nonetheless, existing approaches and tools are only able to support limited resilience in a non-dynamic manner, i.e., fail to consider and respond to a comprehensive profile of run-time situation without needs of the devices and individuals in a CPS. More issues need to be addressed such as how to securely maintain the resilient services, how to introduce intelligent responses in a CPS based on retrieved and/or recognized run-time states, and so on.

Topics of Interest

This workshop is intended for researchers, engineers and practitioners from both academia and industry, who are interested in issues on intelligent models, cyber security and resilience in CPS systems.

Potential topics include but are not limited to:

•   Intelligent Models in a Cyber Physical System
•   Data Security in a Cyber Physical System
•   Service Resilience in a Cyber Physical System
•   Machine Learning for Cyber Security and Privacy Protection in CPS
•   AI and Deep Learning in Industrial CPS
•   CPS Data Hiding in Plain- or Cipher-Formats
•   Industrial CPS and its Communication Security
•   Perception, Recognition and Resilient Responses in CPS
•   Process Resilience and Adaptation in CPS

Submission Instructions

All papers should be prepared no more than 6 pages including all figures, tables, and references, following the IEEE CPS format via IEEE Manuscript Templates for Conference Proceedings. All accepted workshop papers will be included in the proceedings published by IEEE-CS Conference Publishing Services. The papers should be submitted through the EDAS system, and then choose Track “SWC2019: Workshop on Intelligence, Security and Resilience in Cyber Physical Systems” to complete submission. At least one author is requested to register and present their work at the conference; or the paper will be removed from the digital libraries of IEEE CS after the conference.

Submission & Deadlines

•   Submission Deadline: April 26, 2019
•   First notification: May 10, 2019
•   Camera-ready Manuscript: May 19, 2019

Workshop Committee

Workshop Chair

Radu Grosu
Ph.D., Professor
Department of Computer Engineering, Cyber-Physical Systems, Vienna University of Technology, DE0340, Treitlstraße 3, 1040 Wien Österreich, Vienna, Austria
Email: radu.grosu@tuwien.ac.at

Xiaodong Liu
Ph.D., Professor
School of Computing, Ediburgh Napier University, Edinburgh, UK
Email: x.liu@napier.ac.uk

Qi Liu
Ph.D., Professor
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China
Email: qi.liu@nuist.edu.cn

Organizing Committee

• Ching-Nung Yang
  Ph.D., Professor
  Department of Computer Science and Engineering, National Dong Hwa University, Hualien, Taiwan
  Email: cnyang@gms.ndhu.edu.tw


• Zhaoqing Pan
  Ph.D., Professor
  School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China
  Email: zhaoqingpan@nuist.edu.cn


• Naixue Xiong
  Ph.D., Professor
  Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, USA
  Email: xiongnaixue@gmail.com


• Bo Chen
  Ph.D., Professor
  School of Eletronic Engineering, Xidian University, Xian, Shanxi, China
  Email: bchen@mail.xidian.edu.cn


• Victor S. Sheng
  Ph.D., Associate Professor
  Department of Computer Science, University of Central Arkansas, Conway, USA
  E-mail: ssheng@uca.edu


• Weizhi Meng
  Ph.D., Assistant Professor
  Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), Kongens Lyngby, Denmark
  Email: weme@dtu.dk


• Guodong Wang
  PhD, Research Assistant
  Institute of Computer Engineering, Vienna University of Technology, Vienna, Austria
  Email: guodong.wang@tuwien.ac.at