Intelligent Secure Trustable Things
The InSecTT (Intelligent Secure Trustable Things) project aims to bring together Artificial Intelligence (AI) and the Internet of Things (IoT) and merges them into a vision of Artificial Intelligence of Things (AIoT). The creation of trust in AI-based intelligent systems is considered a major part of the AIoT solutions developed in InSecTT.
Main Objectives of Project
In InSecTT, more than 50 partners from 12 European Countries collaborate to provide intelligent, secure and trustworthy systems that leverage the benefits of AI and IoT in a large variety of industry driven use cases from application domains comprising smart infrastructure, buildings, manufacturing, automotive, aeronautics, railway, urban public transport, maritime and health.
InSecTT objectives include:
- Providing intelligent processing at the edge to enable real-time and safety-critical industrial applications
- Developing industrial-grade secure, safe and reliable solutions that can cope with cyberattacks and difficult network conditions
- Providing measures to increase trust for user acceptance, make AI/ML explainable and give the user control over AI functionality
- Developing solutions for Internet of Things in heterogeneous and harsh/hostile environments
- Providing re-usable solutions across industrial domains
The Nimbus Centre is one of four Irish partners involved in this project, the others being Klas Telecom, UCC and Liebherr Container Cranes. Nimbus and Klas Telecom will contribute in particular to the use case “Intelligent Transportation for Smart Cities”, which is led by the Spanish partner Indra, a large industrial player in the railway domain. The use case proposes Smart Transportation systems that interconnect rail and road users in Smart City environments and provide solutions for intelligent transportation and traffic management to improve links between different modes of transportation, thereby addressing the traffic challenges of large modern cities. Vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communication is an integral part of such systems, and it has to be efficient and reliable.
Nimbus researchers will work on methods and algorithms to manage V2I communication, using AI to assess link quality and dynamically manage and choose the most suitable connections in real time among a variety of interfaces, including 5G and other technologies. The AI-enhanced connection management methods and algorithms developed by Nimbus researchers will be implemented and tested on Klas Telecom’s hardware systems, thereby providing enhanced functionality and added value to these systems. Klas Telecom’s systems, enhanced with CIT’s methods and algorithms, will then be integrated into the overall architecture developed within this use case.
InSecTT has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 876038. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Austria, Sweden, Spain, Italy, France, Portugal, Ireland, Finland, Slovenia, Poland, Netherlands, Turkey.
Project Start Date: 01 June 2020
Duration: 36 months
The Irish part of the funding is received from Enterprise Ireland under grant agreement no IR 2020 0052.