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Published in: ATZ worldwide 5/2018

01-05-2018 | Development

Cyber intrusion detection and prevention as a learning system

Author: Dipl.-Inf. Jan Holle

Published in: ATZ worldwide | Issue 5/2018

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Excerpt

What do the US Congress and automotive Ethernet have in common? They have both made it unavoidable to think about detection and prevention by hacker intrusions. Soon-to-come legal requirements for automated driving and the increasing connectivity of vehicles call for an Intrusion Detection and Prevention System (IDPS). Here, Escrypt allows embedded security components and analytical tools to interact intelligently with backend services. …

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Literature
[2]
go back to reference US House of Representatives: Bill H. R. 3388. Self Drive Act. September 7, 2017, online: https://www.congress.gov/bill/115th-congress/house-bill/3388/text#toc-H23AFE3D58CA64E6DA0C6189D566BF453, access: March 01, 2018 US House of Representatives: Bill H. R. 3388. Self Drive Act. September 7, 2017, online: https://​www.​congress.​gov/bill/115th-congress/house-bill/3388/text#toc-H23AFE3D58CA64E6DA0C6189D566BF453, access: March 01, 2018
Metadata
Title
Cyber intrusion detection and prevention as a learning system
Author
Dipl.-Inf. Jan Holle
Publication date
01-05-2018
Publisher
Springer Fachmedien Wiesbaden
Published in
ATZ worldwide / Issue 5/2018
Electronic ISSN: 2192-9076
DOI
https://doi.org/10.1007/s38311-018-0044-5

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