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Proceedings ArticleDOI

Trust-IoV: A Trustworthy Forensic Investigation Framework for the Internet of Vehicles (IoV)

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TLDR
This article proposes TrustIoV – a digital forensic framework for the IoV systems that provides mechanisms to collect and store trustworthy evidence from the distributed infrastructure and maintains a secure provenance of the evidence to ensure the integrity of the stored evidence.
Abstract
The Internet of Vehicles (IoV) is a complex and dynamic mobile network system that enables information sharing between vehicles, their surrounding sensors, and clouds. While IoV opens new opportunities in various applications and services to provide safety on the road, it introduces new challenges in the field of digital forensics investigations. The existing tools and procedures of digital forensics cannot meet the highly distributed, decentralized, dynamic, and mobile infrastructures of the IoV. Forensic investigators will face challenges while identifying necessary pieces of evidence from the IoV environment, and collecting and analyzing the evidence. In this article, we propose TrustIoV – a digital forensic framework for the IoV systems that provides mechanisms to collect and store trustworthy evidence from the distributed infrastructure. Trust-IoV maintains a secure provenance of the evidence to ensure the integrity of the stored evidence and allows investigators to verify the integrity of the evidence during an investigation. Our experimental results on a simulated environment suggest that Trust-IoV can operate with minimal overhead while ensuring the trustworthiness of evidence in a strong adversarial scenario.

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Citations
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Journal ArticleDOI

A generalized approach to automotive forensics

TL;DR: In this article, the authors evaluate the general feasibility of digital forensics on a state-of-the-art vehicle and present a general process for automotive forensics to close existing gaps.
Journal ArticleDOI

A Systematic Literature Review on Automotive Digital Forensics: Challenges, Technical Solutions and Data Collection

TL;DR: This work identifies forensically relevant data from the literature, link the data to categories, and further map them to required security properties and potential stakeholders and believes it is the first systematic literature review on the current research within digital forensics.
Proceedings ArticleDOI

AVGuard: A Forensic Investigation Framework for Autonomous Vehicles

TL;DR: In this paper, the authors propose AVGuard, a forensic investigation framework that collects and stores the autonomous driving logs, which can generate and verify proofs to ensure the integrity of collected logs while preventing collusion attacks among multiple dishonest parties.
Journal ArticleDOI

Architecture, Protocols, and Security in IoV: Taxonomy, Analysis, Challenges, and Solutions

TL;DR: The IoV architecture model is defined with all related communication types, and security and privacy issues are analyzed and presented with recently proposed solutions in a clear method, and clear classifications of threats, attacks, protocols, and solutions are presented.
Journal ArticleDOI

CustodyBlock: A Distributed Chain of Custody Evidence Framework

TL;DR: In this article, a practical and secure CustodyBlock (CB) model using private blockchain protocol and smart contracts to support the control, transfer, analysis, and preservation monitoring is proposed.
References
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Proceedings ArticleDOI

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Journal ArticleDOI

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