Trust-IoV: A Trustworthy Forensic Investigation Framework for the Internet of Vehicles (IoV)
Title | Trust-IoV: A Trustworthy Forensic Investigation Framework for the Internet of Vehicles (IoV) |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Hossain, M., Hasan, R., Zawoad, S. |
Conference Name | 2017 IEEE International Congress on Internet of Things (ICIOT) |
Date Published | June 2017 |
Publisher | IEEE |
ISBN Number | 978-1-5386-2011-3 |
Keywords | Adversarial Scenario, Aggregates, Bluetooth, cloud computing, clouds, complex network system, cyber physical systems, digital forensics, digital forensics investigations, distributed infrastructure, dynamic mobile network system, Forensics, Human Behavior, human factors, information sharing, Internet of Things, Internet of Things (IoT), Internet of Vehicles, Internet of Vehicles (IoV), IoV environment, IoV systems, Metrics, microcontrollers, mobile computing, mobile infrastructures, pubcrawl, Resiliency, security, Sensors, smart phones, stored evidence, strong adversarial scenario, threat model, traffic engineering computing, Trust-IoV, trustworthy evidence, trustworthy forensic investigation framework, vehicular ad hoc networks |
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. |
URL | http://ieeexplore.ieee.org/document/8039051/ |
DOI | 10.1109/IEEE.ICIOT.2017.13 |
Citation Key | hossain_trust-iov:_2017 |
- smart phones
- IoV systems
- Metrics
- microcontrollers
- mobile computing
- mobile infrastructures
- pubcrawl
- Resiliency
- security
- sensors
- IoV environment
- stored evidence
- strong adversarial scenario
- threat model
- traffic engineering computing
- Trust-IoV
- trustworthy evidence
- trustworthy forensic investigation framework
- vehicular ad hoc networks
- dynamic mobile network system
- Aggregates
- Bluetooth
- Cloud Computing
- clouds
- complex network system
- cyber physical systems
- Digital Forensics
- digital forensics investigations
- distributed infrastructure
- Adversarial Scenario
- Forensics
- Human behavior
- Human Factors
- information sharing
- Internet of Things
- Internet of Things (IoT)
- Internet of Vehicles
- Internet of Vehicles (IoV)