Paper Info
Title
A Review on Blockchain Technologies for an Advanced and Cyber-Resilient Automotive Industry.
Abstract
In the last century, the automotive industry has arguably transformed society, being one of the most complex, sophisticated, and technologically advanced industries, with innovations ranging from the hybrid, electric, and self-driving smart cars to the development of IoT-connected cars. Due to its complexity, it requires the involvement of many Industry 4.0 technologies, like robotics, advanced manufacturing systems, cyber-physical systems, or augmented reality. One of the latest technologies that can benefit the automotive industry is blockchain, which can enhance its data security, privacy, anonymity, traceability, accountability, integrity, robustness, transparency, trustworthiness, and authentication, as well as provide long-term sustainability and a higher operational efficiency to the whole industry. This review analyzes the great potential of applying blockchain technologies to the automotive industry emphasizing its cybersecurity features. Thus, the applicability of blockchain is evaluated after examining the state-of-the-art and devising the main stakeholders' current challenges. Furthermore, the article describes the most relevant use cases, since the broad adoption of blockchain unlocks a wide area of short- and medium-term promising automotive applications that can create new business models and even disrupt the car-sharing economy as we know it. Finally, after strengths, weaknesses, opportunities, and threats analysis, some recommendations are enumerated with the aim of guiding researchers and companies in future cyber-resilient automotive industry developments.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2895302
IEEE ACCESS
Keywords
Field
DocType
Blockchain,distributed ledger technology (DLT),Industry 4.0,IIoT,cyber-physical system,cryptography,cybersecurity,tamper-proof data,privacy,traceability
Transparency (graphic),Data security,Use case,Computer science,Risk analysis (engineering),Business model,Operational efficiency,Advanced manufacturing,Traceability,Automotive industry,Distributed computing
Journal
Volume
ISSN
Citations 
7
2169-3536
3
PageRank 
References 
Authors
0.36
0
2
Name
Order
Citations
PageRank
Paula Fraga-Lamas124119.01
Tiago M. Fernández-Caramés222618.31