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

被引:48
|
作者
Hossain, Mahmud [1 ]
Hasan, Ragib [1 ]
Zawoad, Shams [2 ]
机构
[1] Univ Alabama Birmingham, Dept Comp & Informat Sci, Birmingham, AL 35294 USA
[2] Visa Inc, Foster City, CA USA
来源
2017 IEEE 2ND INTERNATIONAL CONGRESS ON INTERNET OF THINGS (IEEE ICIOT) | 2017年
基金
美国国家科学基金会;
关键词
Internet of Things (IoT); Internet of Vehicles (IoV); Security; Digital Forensics; Threat Model; Adversarial Scenario;
D O I
10.1109/IEEE.ICIOT.2017.13
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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 Trust-IoV - 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.
引用
收藏
页码:25 / 32
页数:8
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