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InSecTT – Intelligent Secure Trustable Things

The InSecTT project is a recently (June 2020) started large scale European innovation project funded under the umbrella of the ECSEL Joint Undertaking. https://www.insectt.eu/

The convergence of Artificial Intelligence (AI) and connectivity in terms of the Internet of Things (IoT) leads to the development of “Artificial Intelligence of Things” (AIoT) as mutually beneficial technologies. AI-enabled IoT creates intelligent machines that stimulate smart behavior and supports in decision making with less or no human interference. Therefore, the AIoT can redefine the way of industries, business, and economies functions. However, a huge effort is needed to unlock the potential of AIoT.

InSecTT – Intelligent Secure Trustable Things, is a pan European effort with 54 key partners from 12 countries (EU and Turkey) launched in June 2020, funded under the umbrella of the ECSEL Joint Undertaking (https://www.insectt.eu/). InSecTT aims to provide intelligent, secure, and trustworthy systems for industrial applications to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. 

KTH is involved in several tasks in the InSecTT project, focusing on research leading to architectural patterns for fault-tolerant edge computing systems (localized and remote anomaly detection and handling), and development of an AI V&V methodology by extending the AD-EYE  co-simulation platform to edge based intelligent transportation systems. Requirements for building blocks and tasks in different working packages, as our goals in InSecTT project, have been proposed, setting the scene and representing what we are planning to implement within InSecTT.

According to the participation and involved tasks in InSecTT, responsibilities are divided among KTH group members. Tasks which KTH are currently involved in, together with the coordinator for each task, are as follows:

- T1.2 Requirements: Andrii Berezovskyi
- T2.3 AI on computational level (Tech. Building Block: BB) - Nils Jörgensen
- T2.4 AI V&V (Tech. Building Block: BB) - Kaige Tan
- T2.5 Trustworthy AI (Tech. Building Block: BB) - Martin Törngren
- T4.3 INSecTT reference architecture - Rusyadi Ramli
- T5.3 Security testing for smart IoT - José Manuel
- T6.1 Dissemination, comm., exploitation - Lei Feng
- T6.2 Standardization, Education, stakeholder engagement - Elena Fersman

The integrated approach of TECoSA  in regional collaboration and with respect to critical system properties are specific characteristics, and InSecTT provides excellent complementarity.

Specifically, KTH will contribute by developing architectural concepts for anomaly detection and error handling for edge computing systems and applications. Monitors and error handlers will be developed for safety critical applications, considering interactions and potential integrated design with nominal resource management. We will also make contribution by developing a modelling, analysis and simulation methodology for safety assessment of critical AI based edge systems, with emphasis on architecture verification through fault-injection, including the elicitation and definition of critical scenarios including faults, fault-injection through fault models and automated execution of corresponding simulations. The above targets will also set the basis for future extension of our simulation platform AD-EYE , which will be focused on automated vehicles to incorporate high-level communication models as well as communication faults and attacks. We aim to provide a smart intersection demonstration covering simulation and real-world driving.

InSecTT funding acknowledgements
Page responsible:Infomaster at ITM
Belongs to: Machine Design
Last changed: Mar 01, 2021
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