CISSAN – Collective Intelligence Supported by Security Aware Nodes

CISSAN, Collective Intelligence Supported by Security Aware Nodes, is an international project to develop and demonstrate new methods to create more secure networks for the energy sector.

Purpose

CISSAN (Collective intelligence supported by security aware nodes) is an EU project focused on developing next-generation cybersecurity solutions for smart grids and 5G/6G networks. CISSAN aims to enhance the security and resilience of critical infrastructure by building a collective intelligence system.

This international collaboration involves partners from Austria, Finland, Spain, and Sweden. The project has a significant scale with a total EU budget of approximately €8.49 million, of which the Swedish contribution amounts to approximately €2.38 million. More information is available here.

Celtic+, International, and National Collaboration

CISSAN is a Celtic-NEXT project and led by the project coordinator, Dr. Ilgin Safak from the University of Jyväskylä, Finland. This international collaboration involves partners from Austria, Finland, Spain and Sweden. The project has a significant scope with a total EU budget of approximately EUR 8.49 million, of which the Swedish contribution amounts to approximately EUR 2.38 million. More information can be found here. The Swedish consortium was co-led by Kurt Tutschku (scientifically) and Blue Science Park (organizational).

Project Outputs & Activities (by BTH only)

Publications:

• Philipo AG, Sarwatt DS, Ding J, Daneshmand M, Ning H. Cyberbullying detection: Exploring datasets, technologies, and approaches on social media platforms. ACM Computing Surveys. 2026 Feb 6;58(7):1-35 External link, opens in new window.
• D Adan Ammara, J Ding, and K Tutschku. "Architectural Selection Framework for Synthetic Network Traffic: Quantifying the Fidelity–Utility Trade-off." IEEE Access 14 (2025): 468-484. External link, opens in new window.
• D Adan Ammara, J Ding, K Tutschku, "Towards Using GANs for Synthetic SCADA Data Generation in Smart Grids", Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025, Institute of Electrical and Electronics Engineers (IEEE), 2025. External link, opens in new window.
• Sarwatt DS, Kulwa F, Ning H, Philipo AG, Yao X, Ding J. Benchmarking Recovery Methods for Adversarial Traffic Signs in Autonomous Driving. IET Intelligent Transport Systems. 2025 Jan;19(1):e70115. External link, opens in new window.
• D Adan Ammara, Jianguo Ding, and Kurt Tutschku. "Synthetic Data Generation in Cybersecurity: A Comparative Analysis." arXiv preprint arXiv:2410.16326(2024). External link, opens in new window.

Poster Presentations:

• D Adan Ammara, J Ding, K Tutschku, "Towards Structured Data Quality Assessment for Smart Grid SCADA-AI Pipelines: A Preliminary Exploration using a Graph-Based Approach", 20th Swedish National Computer Networking and Cloud Computing Workshop (SNCNW 2025).

Invited Talks:

• J. Ding, “GenAI, GANs for Cybersecurity, and the European Celtic+ CISSAN project,” Invited Talk, 2nd IEEE/IFIP Workshop on Generative AI for Network Management (GAIN 2025), Honolulu, HI, USA, May 16, 2025.

News & Articles:

In the Celtic News 1/2025 Newsletter, the CISSAN project was featured in a collaborative article. The piece highlighted key project aspects, including its core motivation and various use cases from each partner country.