CONSENT

Maintaining a secure configuration of current IoT networks such as “smart homes” or industrial networks overburdens even skilled integrators, administrators and end users. To avoid and mitigate existing security risks, CONSENT (Conformance-driven and Auto-configured Security for Home and Industrial Networks) aims at developing a new methodology that enables largely automated integration, configuration and operation of new IoT devices and, furthermore, checks the compliant behavior of the devices during operation. This new methodology leads to a robust, zone-based IT security architecture that is easy to extend and whose overall security remains at a high level even if individual devices get compromised. Moreover, this approach nicely complements existing security mechanisms and minimizes human error sources.

 

 

CONSENT is a project of the postgraduate research training group NERD (North Rhine-Westphalian Experts on Research in Digitalization), which is funding researchers in IT-security at universities and universities of applied sciences in North Rhine-Westphalia to promote research in the area of Human Centered Systems Security. More information can be found on https://nerd.nrw.

Researchers

 

Students

  • currently none
 

Alumni

  • currently none
 

Contact

For questions and inquiries regarding the CONSENT project, please contact:

 

 Martin Serror

 E-Mail: martin.serror[[at]]comsys.rwth-aachen.de

 

 

CONSENT Publications

References
2.
Jens Hiller, Martin Henze, Martin Serror, Eric Wagner, Jan Niklas Richter;Klaus Wehrle
43rd IEEE Conference on Local Computer Networks (LCN), Chicago, USA
Publisher: IEEE,
October 2018
ISBN: 978-1-5386-4413-3
to be published
1.
Martin Serror, Martin Henze, Sacha Hack, Marko Schuba;Klaus Wehrle
Proceedings of the 2nd International Workshop on Security and Forensics of IoT (IoT-SECFOR), co-located with the 13th International Conference on Availability, Reliability and Security (ARES 2018), Hamburg, Germany
Publisher: ACM,
August 2018
ISBN: 978-1-4503-6448-5
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