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Security in Autonomous Driving / Natasa Zivic, Obaid Ur-Rehman.

By: Ur-Rehman, Obaid [author.].
Contributor(s): Zivic, Natasa [author.].
Material type: materialTypeLabelBookPublisher: München ; Wien : De Gruyter Oldenbourg, [2020]Copyright date: ©2020Description: 1 online resource (X, 211 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110629613.Subject(s): Automated vehicles -- Electronic equipment | Automated vehicles | Automotive computers -- Security measures | Traffic safety | Autonomous Driving | Fahrsicherheit | Fahrzeugtechnik | Smart VehicleAdditional physical formats: No title; No titleOther classification: ZO 4260 Online resources: Click here to access online | Click here to access online | Cover Issued also in print.
Contents:
Frontmatter -- Preface -- Contents -- 1 Introduction to Cryptography -- 2 Threat Analysis and Risk Assessment -- 3 Machine Learning -- 4 Machine Learning for Anomaly Detection -- 5 Distributed Ledger Technologies -- 6 Self-Correcting and Authentication Algorithm for Automotive Applications -- Index
Title is part of eBook package:DG Ebook Package English 2020Title is part of eBook package:DG OWV ebook Paket Lehrbücher Technik und Informatik 2020Title is part of eBook package:DG Plus DeG Package 2020 Part 1Title is part of eBook package:De Gruyter English eBooks 2020 - UCTitle is part of eBook package:EBOOK PACKAGE COMPLETE 2020 EnglishTitle is part of eBook package:EBOOK PACKAGE COMPLETE 2020Title is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2020 EnglishTitle is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2020Summary: Autonomous driving is an emerging field. Vehicles are equipped with different systems such as radar, lidar, GPS etc. that enable the vehicle to make decisions and navigate without user's input, but there are still concerns regarding safety and security. This book analyses the security needs and solutions which are beneficial to autonomous driving.
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Frontmatter -- Preface -- Contents -- 1 Introduction to Cryptography -- 2 Threat Analysis and Risk Assessment -- 3 Machine Learning -- 4 Machine Learning for Anomaly Detection -- 5 Distributed Ledger Technologies -- 6 Self-Correcting and Authentication Algorithm for Automotive Applications -- Index

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Autonomous driving is an emerging field. Vehicles are equipped with different systems such as radar, lidar, GPS etc. that enable the vehicle to make decisions and navigate without user's input, but there are still concerns regarding safety and security. This book analyses the security needs and solutions which are beneficial to autonomous driving.

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 27. Jan 2023)

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