Secured Industrial Embedded Linux

This presentation deals with the integration of Julius Speech Recognition Engine.

The aim of this Proof of Concept is to have a connectionless speech engine, working on an embedded device, integrated as a binding of the AGL Application Framework. The recognition uses Deep Neural Network realtime decoding, and for safer results and performances purpose, uses a grammar.

Julius does not support wakewords out of the box, some hacking has been done to enable it in an efficient way. Tests have been done on Renesas' H3, and UPSquare boards

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This presentation was given at International Cybersecurity Forum (FIC) in Lille / France.

While the automotive industry has specific constrains and requirements that OpenID Connect (OIDc) did not dig in, OIDc can still be used to secure vehicle to cloud connection, in car communications or smart-cities interactions.

This talk introduces how proposes to use OIDc inside Automotive Grade Linux (AGL) to secure the interaction in between car infotainment, instrument cluster, telematic unit or cloud operations.

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This slideshow was used as support for a lesson given at "École nationale supérieure de techniques avancées Bretagne (ENSTA Bretagne)" (High Scool of Britany).

It presents many aspect of AGL, its security and its framework. It can be used as starter overview browsing every AGL feature.

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This presentation was given at DevOps Wold / Jenkins World in Lisbona.

As today automotive software capabilities are one of the main motivation to choose one model over an other. Thus a modern car easily runs 50 to 100 millions lines of code distributed on more than one hundred SoC/ECU connected by ten or more different networks. At the same time, automotive remains a very strongly cost driven market where short term profits are impossible. This imposes OEMs to keep running the same hardware platform for a minimum of 5 years. OEMs have to both apply security patches and add as many new functionality as expected by the market while having little or even no margin to improve hardware. This conflict of inovation versus stability is only possible with ten years or more long term maintenance contract and a very strict test and continuous software integration process.

This talk details the reasons why these new trends are key for automotive and many other industries. It exposes how based on lessons learn proposes a solution to fulfill embedded software long term support. How to scale it to very complex systems with “in production” multiple software versions, multiple hardware revisions, thousands of components coming from multiple sources and last but not least hundreds of developers.

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This presentation was given at AGL All Member Meeting in Monte Carlo, Monaco.

In the embedded world, the tricky part of development is often located at the hardware/software interface. Indeed, directly testing software on the final target is not always possible. So, it can lead to an increase in time-to-market.

Virtualization ensures early code integration in a target, but existing tools are either incomplete or require hardware virtualization knowledge. This is why is evaluating open-source solutions, allowing AGL application developers to remotely test code easily on emulated and real boards.

So, this presentation outlines the results of this study. Then focuses on the different possible targets given to developers to test their code : QEMU, specific SystemC emulated boards and real hardware boards, all running an AGL stack.

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