UP2DATE: Intelligent software UPDATE technoloties for safe and secure mixed-critically and high performance cyber physical systems

Status: Active Start:
01/01/2020
End:
31/12/2022

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Description

Mixed-Criticality Cyber-Physical Systems (MCCPS) deployed in critical domains like automotive and railway are starting to use Over The AirSoftware Updates (OTASU) for functionality improvement, bug fixing, and solving security vulnerabilities (among others). But, OTASU entailsseveral difficulties:

1) Safety including non-functional properties like real-time, functional safety, and energy-efficiency.

2) Security. OTASU creates entry points for hackers

3) Availability.

During updates the system is not available. While this is just inconvenient for mainstream devices, this is not acceptable for critical MCCPS that must remain active during operation. Additionally, computing performance needs are bigger and therefore complex hardware platforms based on multicore processors and acceleratorsare used in MCCPS. Such complex hardware platforms, software applications are subject to intricate dependences in their functional and nonfunctional behaviour. For facing these two trends in MCCPS: OTASU and complex hardware platforms, that entails relevant research challenges, the UP2DATE project propose: a new software paradigm for SAfety and SEcurity (SASE) software updates for intelligent and resource intensive MCCPS, promoting a safety and security concept that builds around composability and modularity as main properties to enable a dynamic (post-deployment) validation of SASE properties.A high quality and complementary consortium comprising knowledge generators (IKL, BSC and OFFIS) plus technology integrators (IAV and TTA) and two end uses from the automotive and railway sector (MM and CAF), will be able to test in two uses cases a new software architecture that will enable the runtime deployment of new (mixed-criticality) applications remotely (patching existing functions or extending the functionality) in heterogeneous computing platforms. The total budget foreseen for this research project is around €3.8M.

Funding