The role of information networks in securing the critical functions of society is increasing. At the same time, the networks face new threats. VTT is involved in the European AI-NET-ANTILLAS project, which develops methods for securing information networks and critical infrastructure.
The development of network applications and the new 5G and 6G technologies expand the functionality of the networks. Automation is increasing and services are migrating to the cloud and to the edges of the network. All this also changes the challenges information networks need to face. For example, new services based on artificial intelligence create new kinds of weaknesses in information networks. On the other hand, AI and machine learning are also used for finding solutions to the challenges.
The research project aims to promote digitalisation in Europe through smart and secure automation of information networks. The project examines the intersection of AI, machine learning and information networks. New technologies are used to optimise and secure information networks, with such applications as IoT devices used in critical applications and communication between authorities.
“The project examines use scenarios where network services are brought as close to users as possible, and the operation of the network is adapted according to circumstances and needs. The aim is to investigate the potential information security problems of edge computing and AI applications used in the scenarios and to develop solutions for them,” says Jani Suomalainen, Senior Scientist at VTT.
As regards AI, the question is, among other things, how algorithms are applied to information security and how their security and reliability are verified. From the perspective of cyber security, the development also focuses on reliable platform security solutions and equipment. With regard to information networks, on the other hand, the project will investigate the adaptation and steering of the network using such means as machine learning or information security observations.
VTT has been studying the project themes for a long time and plays a strong role in all these areas. VTT is developing deep learning for detecting threats, and the energy efficiency and information security of AI solutions. It also examines information security requirements, architecture and metrics and develops solutions for remote authentication of device reliability. VTT participates in verifying new concepts using prototypes, and its test network and testing services.
Solutions for authorities and companies
The importance of security and reliability of communications networks for the critical functions of society is emphasised as authorities start to use 5G and 6G networks.
“The rapid development of communications networks and digitalisation will provide authorities with completely new kinds of applications that enable more efficient operations, a more accurate situational awareness and faster decision-making in the face of changing societal threats. The research objectives Airbus has in the project are particularly related to IoT solutions in critical field operations and the utilisation of new satellite services together with terrestrial networks,” says Tapio Savunen, Director of strategic marketing at Airbus.
The solutions being developed can also be utilised in the private sector.
“The increased efficiency of edge computing applications changes the threat scenarios associated with systems. In the future, AI-based solutions will play a key role in establishing status of systems and identifying attempts to intrude them. The research carried out in the project will speed up the use of these solutions for commercial applications,” informs Lassi Sutela, CTO of Huld.
Further information on the project:
AI-NET-ANTILLAS is a Celtic-Next cooperation project involving partners from Finland, France and Germany. The Finnish consortium coordinated by VTT includes Airbus, Centria, Eficode, Goodmill Systems, Huld, Insta DefSec, iProtoXi, WithSecure and Xiphera. In Finland, the project is funded by Business Finland. The project will end in 2024.