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, Heikki

Thesis advisor

Sahlin, Bengt
Laaroussi, Zakaria

Keywords

controller area network, machine learning, intrusion detection, Vehicle Communication

Other note

Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-201905123025

Collections

[dipl] Sähkötekniikan korkeakoulu / ELEC