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Human

Industriell programvaruteknik

Komplexa inbyggda system i realtid

Learning, Inclusive education, School transitions – for All (LISA)

Lärande och optimering

Medicinsk teknik

Modellbaserad konstruktion av inbäddade system

M-TERM - Mälardalen University Team of Educational Researchers in Mathematics

Produkt- och produktionsutveckling

Programmeringsspråk

Programvarutestlaboratorium

Robotik

Simulering och optimering för framtida industriella applikationer

Stokastiska processer, statistik och finansmatematik

Säkerhetskritisk teknik

Teknisk matematik

Ubiquitous Computing

Algebra och Analys med tillämpningar

Artificiell intelligens och intelligenta system

Automatiserade mjukvaruspråkutveckling och mjukvaruteknik

Barndom i Antropocen - Utbildning och hållbarhet

Certifierbara bevis och justifieringsteknik

Cyber-fysisk systemanalys

Datakommunikation

Energieffektivisering och minskning av utsläpp

Formell modellering och analys av inbyggda system

Forskargruppen för studier i demokrati, makt och medborgarskap

Förnybar energi

Heterogena system

Serendipity - Secure and dependable platforms for autonomy

In Serendipity, we will develop new technologies and a platform for safetycritical connected cyberphysical systems that leverage existing techniques for dependable systems and augment them with scalable security solutions for open and heterogeneous systems.

Start

2018-03-01

Planerat avslut

2023-02-28

Huvudfinansiering

Stiftelsen för Strategisk Forskning

Samarbetspartners

Saab AB, Avionics Systems, Volvo Construction Equipment AB

Projektansvarig vid MDH

Professor / Docent

Mikael Sjödin

021-10 15 97

mikael.sjodin@mdh.se

Projektbeskrivning

To take full advantage of our increasingly connected and autonomous world, we need technologies to build platforms that are secure and dependable by design. We need security solutions developed not for a particular application area, but for connected, heterogeneous, timesensitive cyberphysical systems and largescale systemsofsystems.

The security solutions need to be scalable and adapted to an open environment where nodes, services and users vary over time. The timely and continuously available security services need to be maintained and should remain transparent to the user. Traditional dependable platforms are designed to provide dependable service, including features such as redundancybased fault tolerance, selfmonitoring, selfhealing, and selfreconfiguring. We claim that security and safety can be addressed in a uniform manner based on these features, since, if used properly, they could be suitable to discover and neutralize intruders and adversaries. In Serendipity, we will develop new technologies and a platform for safetycritical connected cyberphysical systems that leverage existing techniques for dependable systems and augment them with scalable security solutions for open and heterogeneous systems.

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