AI-based quantum-safe cybersecurity automation and orchestration for edge intelligence in future networks
(AIQUSEC)
Main funder
Funder's project number: 2356/31/2023
Funds granted by main funder (€)
- 743 944,00
Funding program
Project timetable
Project start date: 01/09/2023
Project end date: 31/08/2025
Summary
AIQUSEC (AI-based quantum-safe cybersecurity automation and orchestration for edge intelligence in future networks) makes measurable advances in cybersecurity for access and edge services, and operational technology (OT). The project aims for significant cybersecurity scalability, effectiveness and efficiency through enhanced device and sensor security, security assurance, quantum safety and Artificial Intelligence (AI)-based automation solutions.
The new application scenarios of near future, the multiple stakeholders within each scenario, and the higher data volumes raise the need for novel cybersecurity solutions. Recently, cybersecurity threat landscape has become wider, due to the increased digitalization of services, the increase in virtualization and slicing of networks, as well as the increase in advanced cyber-attacks. Because of recent advances in computing power, AI in cybersecurity is now becoming a reality.
A significant part of currently used encryption which secures communications and infrastructures might become instantly penetrable when quantum computing becomes available. Enabling quantum-safety migration development is a clear goal to the project.
The project will design a leading-edge security assurance and validation environment, with a supporting cybersecurity system integration reference model, with a focus on architectural choices and connection of networks from different vertical use cases. The platform and reference model will enable building, testing and validating joint cybersecurity capabilities. In addition to the above-mentioned environment, the project’s results will be demonstrated in critical telecommunications, water utility, physical access solutions and remote work scenarios.
The project integrates novel quantum-safe, AI-based, device-level hardened and scalable cybersecurity solutions, validated in a standardized way. We envision significant new global business potential for these types of innovations.
The new application scenarios of near future, the multiple stakeholders within each scenario, and the higher data volumes raise the need for novel cybersecurity solutions. Recently, cybersecurity threat landscape has become wider, due to the increased digitalization of services, the increase in virtualization and slicing of networks, as well as the increase in advanced cyber-attacks. Because of recent advances in computing power, AI in cybersecurity is now becoming a reality.
A significant part of currently used encryption which secures communications and infrastructures might become instantly penetrable when quantum computing becomes available. Enabling quantum-safety migration development is a clear goal to the project.
The project will design a leading-edge security assurance and validation environment, with a supporting cybersecurity system integration reference model, with a focus on architectural choices and connection of networks from different vertical use cases. The platform and reference model will enable building, testing and validating joint cybersecurity capabilities. In addition to the above-mentioned environment, the project’s results will be demonstrated in critical telecommunications, water utility, physical access solutions and remote work scenarios.
The project integrates novel quantum-safe, AI-based, device-level hardened and scalable cybersecurity solutions, validated in a standardized way. We envision significant new global business potential for these types of innovations.
Principal Investigator
Other persons related to this project (JYU)
Contact person (yes/no): Yes |
Primary responsible unit
Follow-up groups
1 of 2
- Cyber security (University of Jyväskylä JYU)
- Engineering (Faculty of Information Technology IT) OHTE; Formerly Software and Communications Engineering
- School of Resource Wisdom (University of Jyväskylä JYU) JYU.Wisdom
- School of Wellbeing (University of Jyväskylä JYU) JYU.Well
- Secure Communications Engineering and Signal Processing (Faculty of Information Technology IT) SCSP
