Machine Learning for Secure Vehicular Communication: an Empirical Study
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URL
Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu |
Master's thesis
Authors
Date
2019-05-06
Department
Major/Subject
Communications Engineering
Mcode
ELEC3029
Degree programme
CCIS - Master’s Programme in Computer, Communication and Information Sciences (TS2013)
Language
en
Pages
59+1
Series
Description
Supervisor
Hämmäinen, HeikkiThesis advisor
Sahlin, BengtLaaroussi, Zakaria
Keywords
controller area network, machine learning, intrusion detection, Vehicle Communication