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

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 t...

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Bibliographic Details
Main Authors: Sagirkaya, Huseyin, Schmidt, Ece Guran
Format: Conference Proceeding
Language:English
Subjects:
Aerospace electronics
Atmospheric modeling
avionics
Computer architecture
Hardware
Machine learning
MIL-STD-1553
Military standards
simulation
Software
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Summary: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.
ISSN:2155-7209
DOI:10.1109/DASC58513.2023.10311103