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Technology Lines

RELIABLE AI / MACHINE LEARNING FOR IOT

COMPONENTS FOR SECURE, SAFE AND RELIABLE WIRELESS SYSTEMS

COMMERCIAL VIABILITY

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InSecTT Project Follow

InSecTT – Intelligent Secure Trustable Things: a pan-European effort with 52 key partners from 12 countries (EU and Turkey).

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Avatar InSecTT Project @insecttproject ·
15 Mar

In InSecTT, MTU has developed AI algorithms to assess and manage communication uplinks for onboard systems in vehicular environments. #InSecTT #AI

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Avatar InSecTT Project @insecttproject ·
15 Mar

Venkatesha Prasad (known as 'VP') tells Anamarija about how he came from small-town India to TU Delft in the Netherlands. VP explains the research he and his team at TU Delft do in InSecTT, and what he expects to see in IoT for the near future coming up. https://buff.ly/3sybyhl

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Avatar InSecTT Project @insecttproject ·
3 Mar

The HistoTrust platform enables to bring authentication of an AI inference at the device-level with a mix of SW and HW secure elements and platforms. Check our paper at https://buff.ly/3ZHmmsz #cybersecurity #reliableAI #machinelearning

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Avatar InSecTT Project @insecttproject ·
13 Feb

For the InSecTT project, Arçelik Global has provided a use case called Cybersecurity in Manufacturing. Within the use case, two scenarios based on wired and wireless OPC UA communication between typical industrial automation components are worked on.

#ECSELJU #H2020 #research

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Avatar InSecTT Project @insecttproject ·
3 Feb

For the InSecTT project, @Capgemini is researching 5G wireless communications for Intelligent transport systems mainly, platoon use cases, bringing a system level simulator together with a network and management platform. #automotive #5G

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Acknowledgement

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.

Disclaimer

The website reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.

ECSEL Joint Undertaking

Coordinated by Virtual Vehicle Research GmbH

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European Commission

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