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Security in Autonomous Driving

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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.

Author(s): Natasa Zivic, Obaid Ur-Rehman
Publisher: De Gruyter Oldenbourg
Year: 2020

Language: English
Pages: 211
City: Oldenburg

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