Abstract
Automata learning is emerging as an effective technique for obtaining state machine models of software and hardware systems. I will present an overview of recent work in which we used active automata learning to find standard violations and security vulnerabilities in implementations of network protocols such as TCP and SSH. Also, I will discuss applications of automata learning to support refactoring of legacy control software and identifying job patterns in manufacturing systems. As a guiding theme in my presentation, I will show how Galois connections (adjunctions) help us to scale the application of learning algorithms to practical problems.
BibTeX - Entry
@InProceedings{vaandrager:LIPIcs:2019:10580,
author = {Frits Vaandrager},
title = {{Automata Learning and Galois Connections (Invited Talk)}},
booktitle = {46th International Colloquium on Automata, Languages, and Programming (ICALP 2019)},
pages = {4:1--4:1},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-109-2},
ISSN = {1868-8969},
year = {2019},
volume = {132},
editor = {Christel Baier and Ioannis Chatzigiannakis and Paola Flocchini and Stefano Leonardi},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/10580},
URN = {urn:nbn:de:0030-drops-105800},
doi = {10.4230/LIPIcs.ICALP.2019.4},
annote = {Keywords: Automaton Learning, Model Learning, Protocol Verification, Applications of Automata Learning, Galois Connections}
}
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Keywords: |
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Automaton Learning, Model Learning, Protocol Verification, Applications of Automata Learning, Galois Connections |
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Collection: |
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46th International Colloquium on Automata, Languages, and Programming (ICALP 2019) |
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Issue Date: |
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2019 |
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Date of publication: |
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04.07.2019 |
Creative Commons Attribution 3.0 Unported license (CC BY 3.0)