An approach for defining faults in MIL-STD-1553 bus in an Avionics Architecture

Date

2023-01-01

Author

Sagirkaya, Hüseyin
Schmidt, Şenan Ece

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This paper presents a detailed and realistic simulation environment for the very widely used MIL-STD-1553 communication protocol. We then propose a machine-learning approach for detecting malicious traffic and preventing faults caused by cyber-attacks. Our approach utilizes clustering according to the features of a given dataset. We demonstrate our approach with the presented simulation environment in this paper. To this end, we construct a testbed to implement various scenarios such as spoofing and DoS attacks. We generate message traffic with unauthorized RT messaging. We apply our anomaly detection approach to our traffic and present an analysis of the results.

Subject Keywords

avionics, machine learning, MIL-STD-1553, simulation

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85178653813&origin=inward
https://hdl.handle.net/11511/107235

DOI

https://doi.org/10.1109/dasc58513.2023.10311103

Conference Name

42nd IEEE/AIAA Digital Avionics Systems Conference, DASC 2023

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Citation Formats

H. Sagirkaya and Ş. E. Schmidt, “An approach for defining faults in MIL-STD-1553 bus in an Avionics Architecture,” presented at the 42nd IEEE/AIAA Digital Avionics Systems Conference, DASC 2023, Barcelona, İspanya, 2023, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85178653813&origin=inward.