Security of critical infrastructure by multi-modal dynamic sensing and AI (SINTRA)
Main funder
Funder's project number: 10337/31/2023
Funds granted by main funder (€)
- 1 125 000,00
Funding program
Project timetable
Project start date: 01/09/2024
Project end date: 31/08/2027
Summary
SINTRA (Security of critical infrastructure by multi-modal dynamic sensing and AI) ITEA4 project makes measurable advances to enhance critical infrastructure’s situational picture, and to increase the scalability of related cybersecurity, privacy and data governance solutions, utilizing Artificial Intelligence (AI).
Operators and customers of critical industrial and civil infrastructure, such as airports, harbours, power plants, construction sites, and road networks, frequently suffer from the disruptions caused by diverse and sophisticated attacks. Many security monitoring and protection systems are on the market, and for instance, among state-of-the-art solutions, there are camera networks with integrated analysis capabilities. However, the existing solutions are not very effective for detecting complex, high-impact, and context-dependent criminal and adversarial operations, carried out as part of human or drug trafficking, thievery, and physical and cyber-attacks on infrastructure.
The SINTRA project aims to overcome these limitations by delivering a platform for multi-modal sensing and AI-powered data analysis that enables cross-organizational interoperability and cybersecurity and ensures trustworthiness in the safety and security monitoring. The platform facilitates cross-coordination among the stakeholders and supports information protection, sharing, management, and analysis from the public and private security operators, thereby enabling global situational awareness of the infrastructure threats and attacks.
The Finnish part of the project investigates, builds prototypes of, and integrates novel AI-based situational awareness, sensoring, cybersecurity, privacy and data governance solutions. The solutions are validated and demonstrated in relevant harbour and traffic scenarios yet can be adapted and applied to other types of critical infrastructures. We envision significant new global business potential for the SINTRA innovations.
Operators and customers of critical industrial and civil infrastructure, such as airports, harbours, power plants, construction sites, and road networks, frequently suffer from the disruptions caused by diverse and sophisticated attacks. Many security monitoring and protection systems are on the market, and for instance, among state-of-the-art solutions, there are camera networks with integrated analysis capabilities. However, the existing solutions are not very effective for detecting complex, high-impact, and context-dependent criminal and adversarial operations, carried out as part of human or drug trafficking, thievery, and physical and cyber-attacks on infrastructure.
The SINTRA project aims to overcome these limitations by delivering a platform for multi-modal sensing and AI-powered data analysis that enables cross-organizational interoperability and cybersecurity and ensures trustworthiness in the safety and security monitoring. The platform facilitates cross-coordination among the stakeholders and supports information protection, sharing, management, and analysis from the public and private security operators, thereby enabling global situational awareness of the infrastructure threats and attacks.
The Finnish part of the project investigates, builds prototypes of, and integrates novel AI-based situational awareness, sensoring, cybersecurity, privacy and data governance solutions. The solutions are validated and demonstrated in relevant harbour and traffic scenarios yet can be adapted and applied to other types of critical infrastructures. We envision significant new global business potential for the SINTRA innovations.
Principal Investigator
Other persons related to this project (JYU)
Contact person (yes/no): Yes |
