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Behavior analysis for safety and security in automotive systems

 
: Rieke, Roland; Seidemann, Marc; Kengni Talla, Elise; Zelle, Daniel; Seeger, Bernhard

:

Kotenko, I. ; Institute of Electrical and Electronics Engineers -IEEE-; European Organisation for Information Technology and Microelectronics -EUROMICRO-:
25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2017. Proceedings : St. Petersburg, Russia, 6-8 March 2017
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2017
ISBN: 978-1-5090-6058-0
ISBN: 978-1-5090-6059-7
S.381-385
International Conference on Parallel, Distributed, and Network-Based Processing (PDP) <25, 2017, St. Petersburg>
Englisch
Konferenzbeitrag
Fraunhofer SIT ()
automotive security; connected car; predictive security analysis; security modeling and simulation; security monitoring; complex event processing; process discovery

Abstract
The connection of automotive systems with other systems such as road-side units, other vehicles, and various servers in the Internet opens up new ways for attackers to remotely access safety relevant subsystems within connected cars. The security of connected cars and the whole vehicular ecosystem is thus of utmost importance for consumer trust and acceptance of this emerging technology. This paper describes an approach for on-board detection of unanticipated sequences of events in order to identify suspicious activities. The results show that this approach is fast enough for in-vehicle application at runtime. Several behavior models and synchronization strategies are analyzed in order to narrow down suspicious sequences of events to be sent in a privacy respecting way to a global security operations center for further in-depth analysis.

: http://publica.fraunhofer.de/dokumente/N-445686.html