research-article

Trustworthy Traffic Information Sharing Secured via Blockchain in VANETs

Authors:

Azzedine BoukercheAuthors Info & Claims

DIVANet '20: Proceedings of the 10th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications

Pages 33 - 40

https://doi.org/10.1145/3416014.3424601

Published: 16 November 2020 Publication History

Abstract

The extensive use of vehicles, especially with the emergency of autonomous driving, urges the improvement of traffic safety. Prevalent approaches, such as Global Positioning System (GPS), Internet of Things (IoT) system and Artificial Intelligence (AI), have demonstrated their strength in preventing road accidents, with the support of trustworthy data. However, in vehicular ad hoc networks (VANETs), data transmission and storage are unreliable due to various constraints such as limited physical resource and unsteady topology. Distributed schemes are widely applied in VANETs to enforce multifold protection on vehicular data. In particular, Blockchain has become a promising approach, as it implements the real-sense distributed solution with consensus algorithm and distributed ledger. To this end, we propose a novel system in this paper, which employs Blockchain technology to consolidate the traffic information sharing in VANETs and holds profound significance for intelligent applications. Our system focuses on sharing real-time visual traffic information at the frame level via Blockchain in VANETs. Integrity verification of frames based on their sequences and timestamps is imposed prior to the consensus in Blockchain, coupled with digital watermarking to protect the multimedia traffic data. Improved efficiency and reliability of sharing are achieved by the system dynamically adjusting transaction volume in terms of the frame type and number. With the fault tolerance and immutability of Blockchain, our proposal can solidly protect the traffic information sharing against vandalization in VANETs, and confidently escort the traffic with trustworthy safety guidance.

References

[1]

B Asolo. 2019. Delegated Proof of Stake (DPOS) Explained. 2018.

[2]

F. Ayaz, Z. Sheng, D. Tian, G. Y. Liang, and V. Leung. 2020. A Voting Blockchain based Message Dissemination in Vehicular Ad-Hoc Networks (VANETs). In ICC 2020 - 2020 IEEE International Conference on Communications (ICC). 1--6.

[3]

Imran Bashir. 2017. Mastering blockchain. Packt Publishing Ltd.

[4]

Fabrice Bellard and FFmpeg team. [n. d.]. FFmpeg (Version 4.2) [Software]. http://ffmpeg.org/. visited on 02/16/2020.

[5]

Mashrur Chowdhury, Amy Apon, and Kakan Dey. 2017. Data Analytics for Intelligent Transportation Systems 1st ed.). Elsevier Science Publishers B. V., NLD.

Digital Library

[6]

Ingemar J Cox, Matthew L Miller, Jeffrey Adam Bloom, and Chris Honsinger. 2002. Digital watermarking. Vol. 53. Springer.

Digital Library

[7]

Tim Dierks and Eric Rescorla. 2008. RFC 5246-The Transport Layer Security (TLS) Protocol Version 1.2 (2008). URL: https://tools. ietf. org/html/rfc5246 (cited on pages 71, 96) (2008).

[8]

Daniel Drescher. 2017. Blockchain basics. Vol. 276. Springer.

[9]

Elena Dubrova. 2013. Fault-Tolerant Design .Springer Publishing Company, Incorporated.

Digital Library

[10]

The International Organisation for Public Transport. 2015. Video Surveillance in Public Transport. https://www.uitp.org/sites/default/files/cck-focus-papers-files/151113-VS-full-report-final.pdf. Accessed: 2020-07-02.

[11]

Alan Freier, Philip Karlton, and Paul Kocher. 2011. Rfc 6101: The secure sockets layer (SSL) protocol version 3.0. The Internet Engineering Task Force (IETF) (2011).

[12]

Borko Furht (Ed.). 2006. Real Time Transport Protocol .Springer US, Boston, MA, 746--747. https://doi.org/10.1007/0--387--30038--4_202

[13]

T. S. Gomides, M. L. Fernandes, F. Sumika Hojo de Souza, L. Villas, and D. L. Guidoni. 2019. FIRE-NRD: A Fully-Distributed and Vanets-Based Traffic Management System for Next Road Decision. In Proc. Int'l Conf. Distributed Computing in Sensor Systems (DCOSS). 554--561.

[14]

C. Guo, D. Li, G. Zhang, and M. Zhai. 2018. Real-Time Path Planning in Urban Area via VANET-Assisted Traffic Information Sharing. IEEE Transactions on Vehicular Technology, Vol. 67, 7 (2018), 5635--5649.

[15]

D Larimer. 2014. Delegated Proof of Stake. Bitshares. org. From Bitshares. org (2014).

[16]

D Larimer. 2018. DPOS BFT pipelined byzantine fault tolerance. Medium. https://medium. com/eosio/dpos-bft-pipelined-byzantine-fault-tolerance-8a0634a270ba (accessed 27 December, 2018) (2018).

[17]

Q. Luo, S. Wei, H. Cheng, and M. Ren. 2017. A cooperative framework for region crowdedness sensing in VANETs. In 2017 IEEE/CIC International Conference on Communications in China (ICCC). 1--6.

[18]

Yisheng Lv, Yanjie Duan, Wenwen Kang, Zhengxi Li, and Fei-Yue Wang. 2014. Traffic flow prediction with big data: a deep learning approach. IEEE Transactions on Intelligent Transportation Systems, Vol. 16, 2 (2014), 865--873.

[19]

Xiaolei Ma, Zhimin Tao, Yinhai Wang, Haiyang Yu, and Yunpeng Wang. 2015. Long short-term memory neural network for traffic speed prediction using remote microwave sensor data. Transportation Research Part C: Emerging Technologies, Vol. 54 (2015), 187--197.

[20]

Zhaowei Ma, Li Zhu, and Richard Yu. 2019. A Novel Framework of Vehicle Ad-Hoc Networks based on Virtualization and Distributed Ledger Technology. In Proc. the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications. 39--47.

Digital Library

[21]

Hassnaa Moustafa and Yan Zhang. 2009. Vehicular Networks: Techniques, Standards, and Applications .Auerbach publications.

Digital Library

[22]

Bryan Parno and Adrian Perrig. 2005. Challenges in securing vehicular networks. In Workshop on hot topics in networks (HotNets-IV). Maryland, USA, 1--6.

[23]

Qilei Ren, Ka Lok Man, Muqing Li, Bingjie Gao, and Jieming Ma. 2019. Intelligent design and implementation of blockchain and Internet of things-based traffic system. International Journal of Distributed Sensor Networks, Vol. 15, 8 (2019), 1550147719870653.

[24]

Rakesh Shrestha, Rojeena Bajracharya, and Seung Yeob Nam. 2018. Blockchain-based message dissemination in VANET. In 2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS). IEEE, 161--166.

[25]

Andrew S Tanenbaum and Maarten Van Steen. 2007. Distributed systems: principles and paradigms .Prentice-Hall.

Digital Library

[26]

James Turnbull. 2014. The Docker Book: Containerization is the new virtualization .James Turnbull.

[27]

VideoLan. [n. d.]. VLC media player. https://www.videolan.org/vlc/index.html. visited on 02/16/2020.

[28]

Weaveworks. [n. d.]. Weave (Version 2.6.2) [Software]. https://www.weave.works/. visited on 01/16/2020.

[29]

Y. Yang, L. Chou, C. Tseng, F. Tseng, and C. Liu. 2019. Blockchain-Based Traffic Event Validation and Trust Verification for VANETs. IEEE Access, Vol. 7 (2019), 30868--30877.

[30]

F. R. Yu, J. Liu, Y. He, P. Si, and Y. Zhang. 2018. Virtualization for Distributed Ledger Technology (vDLT). IEEE Access, Vol. 6 (2018), 25019--25028.

Cited By

Chen XMeng WHuang H(2025)Blockchain-Driven Distributed Edge Intelligence for Enhanced Internet of VehiclesIEEE Internet of Things Journal10.1109/JIOT.2024.349207412:5(4773-4782)Online publication date: 1-Mar-2025
https://doi.org/10.1109/JIOT.2024.3492074
Swamynathan CShanmugam RMohan Kumar KSubbiyan B(2024) Traffic Prevention and Security Enhancement in VANET Using Deep Learning With Trusted Routing Aided Blockchain Technology Transactions on Emerging Telecommunications Technologies10.1002/ett.7000435:11Online publication date: 6-Nov-2024
https://doi.org/10.1002/ett.70004
Fihri FBenbrahim MKabbaj M(2023)IoV-Based Blockchain Over LoRa for Accident DetectionEnhancing Performance, Efficiency, and Security Through Complex Systems Control10.4018/979-8-3693-0497-6.ch009(137-146)Online publication date: 29-Dec-2023
https://doi.org/10.4018/979-8-3693-0497-6.ch009
Show More Cited By

Index Terms

Trustworthy Traffic Information Sharing Secured via Blockchain in VANETs

Recommendations

A practical solution for blockchain-secured sharing of trustworthy traffic information in vehicular ad hoc networks

The extensive use of vehicles nowadays and the emergency of autonomous driving urge the improvement of traffic safety. Prevalent approaches competent at preventing road accidents are inseparable from the trustworthy data acquisition. But in vehicular ad ...
Towards the traffic hole problem in VANETs
VANET '12: Proceedings of the ninth ACM international workshop on Vehicular inter-networking, systems, and applications

The data delivery in Vehicular Ad-hoc Networks which is based on the infrastructure-less vehicle-to-vehicle (V2V) communications, is sensitive to the traffic flows along the roads. However, the traffic flow may be interrupted by the traffic control ...
Traffic Congestion Reduction and Accident Circumvention System via Incorporation of CAV and VANET

Connected automated vehicle (CAV) technology is the core for the new age vehicles in research phase to communicate with one another and assimilation of vehicular ad-hoc network (VANET) for the transference of data between vehicles at a quantified ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

DIVANet '20: Proceedings of the 10th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications

November 2020

76 pages

ISBN:9781450381215

DOI:10.1145/3416014

General Chair:
Mirela Notare
Technology University on Fly Transportation, Brazil
,
Program Chair:
Peng Sun
Duke Kunshan University, China

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGSIM: ACM Special Interest Group on Simulation and Modeling

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 November 2020

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

MSWiM '20

Sponsor:

SIGSIM

MSWiM '20: 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 16 - 20, 2020

Alicante, Spain

Acceptance Rates

Overall Acceptance Rate 70 of 308 submissions, 23%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
201
Total Downloads

Downloads (Last 12 months)12
Downloads (Last 6 weeks)4

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Chen XMeng WHuang H(2025)Blockchain-Driven Distributed Edge Intelligence for Enhanced Internet of VehiclesIEEE Internet of Things Journal10.1109/JIOT.2024.349207412:5(4773-4782)Online publication date: 1-Mar-2025
https://doi.org/10.1109/JIOT.2024.3492074
Swamynathan CShanmugam RMohan Kumar KSubbiyan B(2024) Traffic Prevention and Security Enhancement in VANET Using Deep Learning With Trusted Routing Aided Blockchain Technology Transactions on Emerging Telecommunications Technologies10.1002/ett.7000435:11Online publication date: 6-Nov-2024
https://doi.org/10.1002/ett.70004
Fihri FBenbrahim MKabbaj M(2023)IoV-Based Blockchain Over LoRa for Accident DetectionEnhancing Performance, Efficiency, and Security Through Complex Systems Control10.4018/979-8-3693-0497-6.ch009(137-146)Online publication date: 29-Dec-2023
https://doi.org/10.4018/979-8-3693-0497-6.ch009
Vailoces GKeith AAlmehmadi AEl-Khatib KCoutinho RBani Younes M(2023)Securing the Electric Vehicle Charging Infrastructure: An In-Depth Analysis of Vulnerabilities and CountermeasuresProceedings of the Int'l ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications10.1145/3616392.3623424(31-38)Online publication date: 30-Oct-2023
https://dl.acm.org/doi/10.1145/3616392.3623424
Saad MKhan MAhmad M(2022)Blockchain-Enabled Vehicular Ad Hoc Networks: A Systematic Literature ReviewSustainability10.3390/su1407391914:7(3919)Online publication date: 25-Mar-2022
https://doi.org/10.3390/su14073919
Hashem YZildzic EGurtov ANotare MSun P(2021)Secure Drone Identification with Hyperledger IrohaProceedings of the 11th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications10.1145/3479243.3487305(11-18)Online publication date: 22-Nov-2021
https://dl.acm.org/doi/10.1145/3479243.3487305

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten