The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Block4Forensic: An Integrated Lightweight Blockchain Framework for Forensics Applications of Connected Vehicles
Open accessAbstract
Today's vehicles are becoming cyber-physical systems that not only communicate with other vehicles but also gather various information from hundreds of sensors within them. These developments help create smart and connected (e.g., self-driving) vehicles that will introduce significant information to drivers, manufacturers, insurance companies, and maintenance service providers for various applications. One such application that is becoming crucial with the introduction of self-driving cars is forensic analysis of traffic accidents. The utilization of vehicle-related data can be instrumental in post-accident scenarios to discover the faulty party, particularly for self-driving vehicles. With the opportunity of being able to access various information in cars, we propose a permissioned blockchain framework among the various elements involved to manage the collected vehicle-related data. Specifically, we first integrate vehicular public key infrastructure (VPKI) to the proposed blockchain to provide membership establishment and privacy. Next, we design a fragmented ledger that will store detailed data related to vehicles such as maintenance information/ history, car diagnosis reports, and so on. The proposed forensic framework enables trustless, traceable, and privacy-aware post-accident analysis with minimal storage and processing overhead.
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“Some of them propose new platforms just at a concept level [45,51,52,75,77,83,84,88,89,91], some of them present proofs of their concepts [76,79,81], and only three of them present a real implementation based on real blockchains: [78,80,82].”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [91]
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Cites
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Rahman, N. H. A., Glisson, W. B., Yang, Y., & Choo, K. R. (2016) · IEEE Cloud Computing · doi:10.1109/mcc.2016.5 · Cited by 169
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Flagged first, then by citations
Research works printed but not linked: 2
- cachin, 0, Architecture of the Hyperledger Blockchain Fabric, Proc Wksp Distributed Cryptocurrencies and Consensus Ledgers
- 2016, IEEE Standard for Wireless Access in Vehicular Environments (WAVE)
Cited by
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A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues
Stoyanova, M., Nikoloudakis, Y., Panagiotakis, S., Pallis, E., & Markakis, E. K. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2962586 · Cited by 852
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Cyber-physical systems security: Limitations, issues and future trends
Yaacoub, J.-P. A., Salman, O., Noura, H., Kaaniche, N., Chehab, A., & Malli, M. A. (2020) · Microprocessors and Microsystems · doi:10.1016/j.micpro.2020.103201 · Cited by 512
Privacy-Preserving Solutions for Blockchain: Review and Challenges
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“Furthermore, Block4Forensic is proposed by [219] as a vehicular forensics system provides a decentralized blockchain-based approach to gather relevant”
BackgroundBlockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey
Mollah, M. B., Zhao, J., Niyato, D., Guan, Y. L., Yuen, C., Sun, S., Lam, K.-Y., & Koh, L. H. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3028368 · Cited by 464
Metadata
- Authors
- Cebe, M., Erdin, E., Akkaya, K., Aksu, H., & Uluagac, S.
- Affiliations
- Florida International University (US)
- Venue
- IEEE Communications Magazine
- Published
- 2018-10
- Volume
- 56
- Issue
- 10
- Pages
- 50-57
- ISSN
- 0163-6804 (ISSN-L)
- 1558-1896
- OpenAlex
- W2786393483
- Cited by
- 326
- References
- 16
- Citations by year
- 2026: 20 · 2025: 21 · 2024: 30 · 2023: 42 · 2022: 46 · 2021: 66 · 2020: 47 · 2019: 45 · 2018: 9
- FWCI
- 67.38
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- IEEE Communications Magazine (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Bilkent University Institutional Repository (Bilkent University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- blockchain, connected vehicles, autonomous vehicles, permissioned blockchain, vehicle data management, privacy, traceability, cyber-physical systems
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