Artificial city

Cyber ​​​​Security InSecTT: the secure fusion of IoT and Artificial Intelligence

Leonardo is among the partners of InSecTT (Intelligent Secure Trustable Things), a European research project funded by the ECSEL (Electronic Components and Systems for European Leadership) Joint Undertaking and coordinated by Virtual Vehicle (Austria). The aim is to develop smart, secure and reliable solutions for European industry throughout the supply chain, by combining the Internet of Things and artificial intelligence.

Leonardo’s expertise in using AI to security and surveillance purposes as well as in electronic will contribute to the development of solutions for smart city public transport and the securing of passenger flows in airports, as well as in the surveillance and protection of maritime infrastructures.

The expansion of connected devices and sensors, also known as the Internet of Things, has increased the availability of interconnected systems and data, with a number of benefits across different industries ranging from manufacturing to critical infrastructure, including transport, automobile and health care.

The availability of this enormous amount of data is progressing at the same pace as the development of new Artificial Intelligence (AI) and Machine Learning (ML) algorithms, making possible new applications such as automatic recognition, based on massive analysis of data. The other side of the coin is the vulnerability of these devices in terms of security, reducing confidence in these technologies.

Addressing these issues is one of the keys to unlocking the benefits of IoT applications and is in line with the objectives pursued by the EU.

In order to improve both the security and the performance of IoT applications, the approach is to move AI to the edge, i.e. to process data locally on a hardware device closer to the sources which generate them. With edge computing, local intelligent processing moves AI from the center of the network (cloud) to the edge, without moving data to the cloud.

InSecTT
In this context, InSecTT gather 52 partners of 12 different countries (Europe and Turkey), with the main objectives of developing smart, secure and reliable systems, building trust in systems and solutions and developing the potential of the ‘Artificial Intelligence of Objects‘.

As a consortium partner, Leonardo leads the use case for public transport and airport security. The company is also contributing a use case for maritime and port infrastructure monitoring.

The first one use caseled by Leonardo alongside Eurotech, CINI and SETA (Società Emiliana di Trasporti Autofiloviari), focuses on the development of three safety solutions based on AI applications for public transport in urban environments:

  • AI-based audio and video anomaly detection systems to increase passenger safety

  • A predictive algorithm to check the condition of vehicles based on mechanical component monitoring data via devices installed on board (predictive maintenance)

  • Systems for detecting road faults, analyzing passenger flows and air quality on board vehicles to improve safety and security

The second use casedirected by Leonardo with Eurotech, CINI e Puglia Airports focuses on airport security. In this case, the main objective is the surveillance of airports through four experimental solutions:

  • A new passenger recognition system to speed up boarding and disembarking procedures

  • Terminal area monitoring using techniques such as computer vision, audio pattern recognition and potentially hazardous substance detection systems

  • Solutions to detect and track suspicious individuals who may intend to bring dangerous goods into the airport

  • Experimental surveillance systems to check the airport’s most vulnerable points

The third use case aims to develop IoT solutions for the port and maritime environment, offering innovative services for the secure management of commercial and tourist activities. Leonardo’s contribution focuses on access control and monitoring of underwater areas around critical infrastructures, using networks of acoustic and magnetic sensors distributed on the seabed to monitor underwater threats.


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InSecTT has received funding from the ECSEL Joint Undertaking (JU) under Grant Agreement No 876038. The Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation program and from Austria, Sweden, Spain, Italy, France, Portugal, Ireland, Finland and Slovenia. , Poland, Netherlands, Turkey.