Ur-Rehman, Obaid,  <br/><br/>
Security in Autonomous Driving / 
Natasa Zivic, Obaid Ur-Rehman. 
 - 1 online resource (X, 211 p.) 
<br/><br/> 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 
<br/><br/> restricted access  http://purl.org/coar/access_right/c_16ec 
<br/><br/> 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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<br/><br/><br/>Mode of access: Internet via World Wide Web. 
<br/><br/><br/>In English. 
<br/><br/><label>ISBN: </label>9783110629613 
<br/><br/><label>Standard No.: </label>10.1515/9783110629613  doi 
<br/><br/><label>LCCN: </label>2020945304 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Automated vehicles--Electronic equipment.<br/>Automated vehicles.<br/>Automotive computers--Security measures.<br/>Traffic safety.<br/>Autonomous Driving.<br/>Fahrsicherheit.<br/>Fahrzeugtechnik.<br/>Smart Vehicle.
<br/><br/><label>LC Class. No.: </label>TL152.8  / .U77 2020