Description
Blockchain was first conceptualized as a method of building trust in machines and has grown into a vital aspect of many different sectors of the economy. Recently, attention has shifted to the field of autonomous vehicles, and the added value blockchain can provide for the future of this sector by building next generation secure decentralized, distributed, and trusted automated environments and enhancing the productivity of several autonomous applications.
Opportunities and Challenges for Blockchain Technology in Autonomous Vehicles is a critical reference source that explores the applications of blockchain in automated industries. Featuring coverage on a wide range of topics including privacy, risk assessment, and performance optimization, this book is ideally designed for design engineers, industry professionals, cryptographers, service designers, entrepreneurs, government officials, consultants, researchers, academicians, and students.
Author's/Editor's Biography
Amit Tyagi (Ed.)
Amit Kumar Tyagi (GATE, NPwD-JRF, UGC-NET, and ICAR-NET) received his Ph.D degree in 2018 from Pondicherry Central University, Puducherry, India, in area of “Vehicular Ad-hoc Networks”. His research interests include Formal Language Theory, Smart and Secure Computing, Privacy (including Genomic Privacy), Machine Learning with Big data, Blockchain Technology, Cyber Physical System etc. He has completed his M.Tech degree from the Pondicherry Central University, Puducherry, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) for the periods of 2009-2010, and 2012-2013. With more than 08 (Eight) years of teaching and research experience across India, currently he is working as an Assistant Professor in Vellore Institute of Technology, Chennai Campus, Chennai 600127, Tamilnadu, India. Additionally, He is also the recipient/ awarded of the GATE and NPwD-JRF fellowship in 2009, 2016 and 2013. He has been published one major book titled “Know Your Technical (IT) Skills”. Also He is a member of various Computer/ Research Communities like IEEE, ISOC, CSI, ISTE, DataScience, MIRLab, etc.