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by vif-insectt | Oct 15, 2020 | 0 comments



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AvatarInSecTT Project@InsecttProject·
21 Jul

The main research focus of F-Secure within the InSecTT project concerns AI-based anomaly detection for IoT network traffic in consumer home environments.

#InSecTTProject #AI #cybersecurity

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AvatarInSecTT Project@InsecttProject·
19 Jul

F-Secure is proudly participating in the InSecTT project by bringing our expertise in cyber security and AI to achieve the project aims of intelligent, secure and trustable IoT.
#InSecTTProject #AI #cybersecurity

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AvatarInSecTT Project@InsecttProject·
5 Jul

When you have multiple network options, how do you know which is the best network to use for communication while being on the move? 🤔 Munster Technological University (MTU) develops AI methods to dynamically monitor and compare the available links to connect to the best network.

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AvatarInSecTT Project@InsecttProject·
2 Jul

Onboard systems on trains need reliable connections for diagnostic data as well as for services such as passenger WiFi. In InSecTT, MTU researchers work on AI methods to predict connection quality, based on real world measurements.

#InSecTT #AI #research

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AvatarInSecTT Project@InsecttProject·
25 Jun

Team ZED (consisting of InSecTT members) from TU Delft won the 4TU impact challenge and will be one of the people to represent the Netherlands during the world forum in Dubai 🏆

Video Entry: https://www.youtube.com/watch?v=FF62FckD8RY

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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

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