Paper 2020/011 Original: eprint.iacr.org/2020/011 ↗

Towards Vehicular Digital Forensics from Decentralized Trust: An Accountable, Privacy-preservation, and Secure Realization

Ming Li
Jian Weng
Jia-Nan Liu
Xiaodong Lin
Charlie Obimbo
Abstract

With the increasing number of traffic accidents and terrorist attacks by modern vehicles, vehicular digital forensics (VDF) has gained significant attention in identifying evidence from the related digital devices. Ensuring the law enforcement agency to accurately integrate various kinds of data is a crucial point to determine the facts. However, malicious attackers or semi-honest participants may undermine the digital forensic procedures. Enabling accountability and privacy-preservation while providing secure data access control in VDF is a non-trivial challenge. To mitigate this issue, in this paper, we propose a blockchain-based decentralized solution for VDF named BB-VDF, in which the accountable protocols and algorithm are constructed. The desirable security properties and fine-grained data access control are achieved based on smart contract and the customized cryptographic construction. Specifically, we design a distributed key-policy attribute based encryption scheme with partially hidden access structures, named DKP-ABE-H, to realize the secure fine-grained forensics data access control. Further, a novel smart contract is designed to model the forensics procedures as a finite state machine, which guarantees accountability that each participant performs auditable cooperation under tamper-resistant and traceable transactions. Systematic security analysis and extensive experimental results show the feasibility and practicability of our proposed BB-VDF scheme.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Preprint.
History
2021-10-03: last updated
2020-01-06: published
Short URL
https://ia.cr/2020/011
License
https://creativecommons.org/licenses/by/4.0/

BibTeX

@misc{cryptoeprint:2020/011,
      author = {Ming Li and Jian Weng and Jia-Nan Liu and Xiaodong Lin and Charlie Obimbo},
      title = {Towards Vehicular Digital Forensics from Decentralized Trust: An Accountable, Privacy-preservation, and Secure Realization},
      howpublished = {Cryptology {ePrint} Archive, Paper 2020/011},
      year = {2020},
      url = {https://eprint.iacr.org/2020/011}
}
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