OMAP : Military Standard 1553B (MIL-STD-1553B) device classification framework : A comparative approach study.

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Courchesne, Olivier




In 2017, Canada presented its intent to buy C$90 million worth of fighter jets. While these jets need regular modifications to be kept up to date with the airworthiness standard of Canada, they rely on older aircraft architecture like the MIL-STD-1553B. In this thesis, we investigate the MIL-STD-1553B technology used in aircraft systems and explore how aircraft components can be automatically classified. We propose a novel a two-step active scanning approach to establish message timing, built-in test responses and memory contents in order to classify the devices. OMAP is able to classify device types and versions. We compared the accuracy of multiple Machine Learning classification algorithms when exposed to different test case scenarios as well as compared: One-step vs Two-step classification, Joined vs Separate spoofed class, Timing features granularity effects. Finally, using ANN and SVC we obtained a classification accuracy of 95% for device type and 88% for device version.


Engineering - Electronics and Electrical
Engineering - Aerospace
System Science




Carleton University

Thesis Degree Name: 

Master of Applied Science: 

Thesis Degree Level: 


Thesis Degree Discipline: 

Engineering, Electrical and Computer

Parent Collection: 

Theses and Dissertations

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