EAI SmartSP 2026 invites Poster and Demo submissions that address innovative and important topics related to all areas of secure communications and networking.

The objective of this track is to provide PhD students with a platform to share their ideas and research work while receiving feedback and suggestions from an international audience. We encourage authors to use the Posters & Demos track as an opportunity to engage with the scientific community, discuss their early-stage research, and refine their work for future publication and innovation. This track is designed to showcase ongoing research progress and insights from recent and current projects.

Recent proliferation of Artificial Intelligence (AI), Internet of Things (IoT), edge-fog-cloud computing, and interconnected networks envisions that smart cyber-physical systems (CPS), especially smart vehicles (SV), are capable of innovative solutions to change our lifestyles. Unavoidably, the potential benefits come along with new challenges and concernsaboutn security and privacy. The 4th EAI International Conference on Security and Privacy in Cyber-Physical Systems and Smart Vehicles (EAI SmartSP 2026) is a global forum for researchers and developers from academia, industry, and government to present and discuss emerging ideas and trends in security and privacy issues in this exciting area. SmartSP 2026 seeks original/invited papers focusing on theoretical analysis, vulnerability discovery, novel system architecture construction and design, emerging applications, experimental studies, and social impacts of CPS and SV. Both review/survey papers and technical papers are encouraged. SmartSP 2026 also welcomes short papers that summarize speculative breakthroughs, work-in-progress, industry-featured projects, open problems, new application challenges, visionary ideas, and preliminary studies.

1. Accident prevention
2. Adaptive attack mitigation for CPS
3. Analytics for intelligent transportation
4. Authentication and access control for CPS and smart vehicles
5. Availability, recovery, and auditing for CPS and smart vehicles
6. Big data-based solutions for CPS security and privacy issues
7. Blockchain-based security and privacy solutions for CPS applications
8. Cooperative driving and traffic management
9. Data security and privacy for CPS and smart vehicles
10. Driver behavior analysis
11. Electric vehicle charging systems security and privacy
12. Embedded systems security and privacy
13. Efficient LLM models for vehicle applications
14. Intrusion detection for CPS
15. Legacy CPS system protection
16. Malware analysis for CPS and smart vehicles
17. Modeling and analysis of smart CPS
18. Security Test-bed for CPS and smart vehicles
19. Smart contract-based trustable and verifiable computations for CPS applications
20. Smart grid security and privacy
21. Threat modeling for CPS and smart vehicles
22. Traffic theory, modeling, and simulation
23. Urban transportation system security and privacy
24. V2V, V2I, and V2X: architectures and system design
25. Vehicle information systems
26. Vulnerability analysis for CPS and smart vehicles
27. Trustworthy AI for CPS and smart vehicles
28. Embodied AI security and robotics security

Demos & Poster Chair

Yi Zhu, Wayne State University, USA

Accepted, registered and presented posters and demos will be submitted for publication by Springer and made available through SpringerLink Digital Library. Posters and Demos will be published as a part of the EAI SmartSP 2026 Conference Proceedings in a non-indexed Annex section.

More about the publication, click HERE.

Posters and Demos should be submitted through the EasyChair system, and have to comply with the Springer format (see Author’s kit section).

• Poster papers should be from 1 to 4 pages in length. 
• Demo papers should be from 1 to 4 pages in length. 

Poster and Demo submissions should be a maximum of 4 pages, including references, figures, tables, and appendix.

For full information, click HERE. 

AI Authorship Policy

Large Language Models (LLMs), such as ChatGPT, do not currently satisfy our authorship criteria. Notably an attribution of authorship carries with it accountability for the work, which cannot be effectively applied to LLMs. We thus ask that the use of an LLM be properly documented in the Acknowledgements, or in the Introduction or Preface of the manuscript.

The use of an LLM (or other AI-tool) for “AI assisted copy editing” purposes does not need to be declared. In this context, we define the term “AI assisted copy editing” as AI-assisted improvements to human-generated texts for readability and style, and to ensure that the texts are free of errors in grammar, spelling, punctuation and tone. These AI-assisted improvements may include wording and formatting changes to the texts, but do not include generative editorial work and autonomous content creation. In all cases, there must be human accountability for the final version of the text and agreement from the authors that the edits reflect their original work. This reflects a similar stance taken on the AI generative figures policy, where it was acknowledged that there are cases where AI can be used to generate a figure without being concerned about copyright e.g. to generate a graph based on data provided by the author. 

AI Authorship Guidance

Authors should familiarise themselves with the current known risks of using AI models before using them in their manuscript. AI models have been known to plagiarise content and to create false content. As such, authors should carry out due diligence to ensure that any AI-generated content in their book is correct, appropriately referenced, and follow the standards as laid out in our Book Authors’ Code of Conduct.

AI-generated Images Policy

The fast-moving area of generative AI image creation has resulted in novel legal copyright and research integrity issues. As publishers, we strictly follow existing copyright law and best practices regarding publication ethics. While legal issues relating to AI-generated images and videos remain broadly unresolved, Springer Nature journals and books are unable to permit its use for publication.

Exceptions:

• Images/art obtained from agencies that we have contractual relationships with that have created images in a legally acceptable manner.
• Images and videos that are directly referenced in a piece that is specifically about AI and such cases will be reviewed on a case-by-case basis.
• The use of generative AI tools developed with specific sets of underlying scientific data that can be attributed, checked and verified for accuracy, provided that ethics, copyright and terms of use restrictions are adhered to.

HOW TO WRITE GOOD ALT TEXT

Papers must be formatted using the Springer LNICST Authors’ Kit.

Instructions and templates are available from Springer’s LNICST homepage:

• LaTeX2e Proceedings Templates (zip)
• Microsoft Word Proceedings Templates (zip)
• HOW TO WRITE GOOD ALT TEXT (pdf)

Please make sure that your paper adheres to the format as specified in the instructions and templates.

When uploading the camera-ready copy of your paper, please be sure to upload both:

• a PDF copy of your paper formatted according to the above templates, and
• an archive file (e.g. zip, tar.gz) containing the both a PDF copy of your paper and LaTeX or Word source material prepared according to the above guidelines.