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Blockchain Security Using Secure Multi-Party Computation
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Author(s): Jenila Livingston L. M. (Vellore Institute of Technology, India), Ashutosh Satapathy (Vellore Institute of Technology, India), Agnel Livingston L. G. X. (St. Xavier's Catholic College of Engineering, India)and Merlin Livingston L. M. (Jeppiaar Institute of Technology, India)
Copyright: 2021
Pages: 18
Source title:
Opportunities and Challenges for Blockchain Technology in Autonomous Vehicles
Source Author(s)/Editor(s): Amit Kumar Tyagi (Research Division of Advanced Data Science, Vellore Institute of Technolgy, Chennai, India), Gillala Rekha (K. L. University, India)and N. Sreenath (Pondicherry Engineering College, India)
DOI: 10.4018/978-1-7998-3295-9.ch011
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Abstract
In secure multi-party computation (SMC), multiple distributed parties jointly carry out the computation over their confidential data without compromising data security and privacy. It is a new emerging cryptographic technique used in huge applications such as electronic auction bidding, electronic voting, protecting personal information, secure transaction processing, privacy preserving data mining, and privacy preserving cooperative control of connected autonomous vehicles. This chapter presents two model paradigms of SMC (i.e., ideal model prototype and real model prototype). It also deals with the type and applications of adversaries, properties, and the techniques of SMC. The three prime types of SMC techniques such as randomization, cryptographic techniques using oblivious transfer, and anonymization methods are discussed and illustrated by protective procedures with suitable examples. Finally, autonomous vehicle interaction leveraged with blockchain technology to store and use vehicle data without any human interaction is also discussed.
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