The 11th IEEE International Workshop on Cyber-Physical Systems Security (CPS-Sec 2026)
In Conjunction with the IEEE Conference on Communications and Network Security (CNS)

14-17 September 2026 | Newark, Delaware, United States

SUBMISSION INSTRUCTIONS

Submitted papers must represent original material that is not currently under review in any other conference or journal, and has not been previously published. All submissions must be written in English with a maximum paper length of 6 pages and formatted according to the two-column IEEE conference format. Accepted papers will be published in the IEEE Digital Library after the conference and included in the IEEE CNS proceedings. Papers should be submitted using the EDAS submission system.

For the templates, please refer to the IEEE Page here: https://www.ieee.org/conferences/publishing/templates.html

Submissions must be in Portable Document Format (.pdf). Authors should pay special attention to unusual fonts, images, and figures that might create problems for reviewers. Your document should render correctly in Adobe Reader XI and when printed in black and white.

Papers must be submitted through the EDAS system.

IMPORTANT DATES

Submission Deadline:

June 22, 2026

Acceptance Notification:

July 15, 2026

Camera Ready:

August 14, 2026

Workshop Date:

September 17, 2026

Organizers

CALL FOR WORKSHOP PAPERS

We invite innovative submissions that present practical and theoretical solutions to cybersecurity issues within CPS. Example topics of interest are given below, but are not limited to:

Secure CPS architectures and protocols
Authentication mechanisms for CPS
Access control and anonymization for CPS
Blockchain applications for CPS
Data security and privacy for CPS
Forensics for CPS
Intrusion detection for CPS
Energy-efficient secure CPS
Availability, recovery, and auditing for CPS
Distributed secure solutions for CPS
Threat modelling for CPS
Security of CPS in automotive systems
Security of CPS in medical devices/systems
AI-driven security solutions for CPS
Generative AI for CPS security
Adversarial AI for CPS
Defense mechanisms against adversarial AI for CPS
Usage of LLMs and VLMs for security and threat detection/analysis in CPS
Human-machine interaction and natural language interfaces in CPS
Privacy-preserving techniques for CPS data
Cyber-physical threat intelligence and information sharing
Security testing and validation for CPS

Use of Generative AI Technology provides great advantages to its users and, in particular, generative AI may be tempting to use as a substitute for human work. While this is great for a lot of tasks, critical thinking and fact-checking is not yet among the tasks at which these models excel. Therefore, we encourage authors to provide substantial contributions via critical thinking and carefully checking the correctness of whatever information is included in the paper. The use of generative AI for reviewing is, on the other hand, strictly prohibited. We will instruct reviewers in this sense to guarantee you quality reviews and without leaking any confidential information you will include in your work.

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