Hankkeen tiedot | ![]() |
| Nimi | AI-based quantum-safe cybersecurity automation and orchestration for edge intelligence in future networks |
| Aloituspäivä | 1.9.2023 |
| Lopetuspäivä | 28.2.2026 |
| www-sivut | - |
| Tila | Päättynyt |
| Yhteyshenkilö | Patryk Wójtowicz |
| Kuvaus | There are five major objectives for this project:
1) To actively participating in the joint research proposal and perform the work packages tasks in cooperation with Jyväskylä University, Nokia, SSH, and Prosys. 2) To identify the potential cyber risks and threats in OT environments and to study the possible mitigation approach. 3) To achieve a cybersecurity solution for the convergence (Sync Out Problem) of IT and OT for the Smart Factory and WaterLAB. 4) To simulate and analyze gathered data for increasing production efficiency and optimizing resources. 5) To classify the level and types of possible attacks and threats pertinent to the factory environment using Artificial Intelligence enabled models. |
| Kehittämistarve | The AIQUSEC project focuses on advancing research, development, and innovation in the domain of cybersecurity for critical infrastructures, including water and energy systems. From the perspective of higher education institutions, particularly universities of applied sciences, it is essential to investigate and evaluate novel industry-driven solutions for securing networks, sensors, and data transmission processes. Special emphasis is placed on ensuring secure communication between entities through the adoption of quantum-safe and post-quantum cryptographic mechanisms, addressing emerging threats posed by next-generation computing technologies.
In this context, the project leverages Savonia’s Water Research Infrastructure and the Lucas Nülle Smart Factory as experimental platforms to design, implement, and validate concrete proof-of-concept solutions and demonstrators. These demonstrators target multiple layers of cybersecurity, including hardware-level protection, network resilience, and integrated IT/OT (Information Technology/Operational Technology) security frameworks. By combining applied research methodologies with real-world testing environments, the project contributes to strengthening the cyber resilience of critical infrastructures while facilitating knowledge transfer between academia and industry. |
| Toimenpiteet | Savonia has participated in four work packages in the AIQUSEC Project and they are:
1) Savonia has actively participated in project work and dissemination management, along with scientific coordination. It also coordinates the project deliverables and activities. 2)Savonia has also actively engaged in continuous follow-up, business models and ecosystem development 3) Savonia contributed in the work package entitled as "Device and sensor security and decision support by AI" actively and produces key proof-of-concepts 4) Savonia also contributed to system integration reference model and security assurance environment workpackage. |
| Tulokset | The results of this project are academic thesis, demonstrators, proof-of-concepts, scientific publications, and desk study reports. Some of the major results are:
1) Savonia Bachelor’s Thesis 1: OPC Unified Architecture and Digital Replica for Critical Infrastructures, https://www.theseus.fi/bitstream/handle/10024/859392/Khan_Md.pdf?sequence=2 2) Savonia UAS and Rhein-Main German University Thesis 2: Practical Approaches on Fault Attacks Targeting IoT Devices with Low-Cost Tools, https://www.hs-rm.de/en/about/people/stoettinger-marc#theses-136173 3) Savonia WaterLoop Dataset Development 4) Sensor-wise Anomaly Scoring Using LSTM-VAE 5) Development of PQC and Quantum-Safe Data Tunneling (AIQUSEC-LAB) |
| Kumppanit | Nokia
Jyväskylä University SSH Prosys |
| Rahoittaja | Business Finland |

