Security challenges in Internet of Vehicles (IoV) environment
Abstract
With recent advancements in technology, different devices that are used in our day-to-day lives are able to connect to internet, communicate and exchange messages with each other. This new paradigm is called “Internet of Things” and is providing services such as smart hospitals, smart city, home automation etc. “Internet of Things” has changed conventional small scale Vehicular Ad-hoc Network (VANET) to a highly scalable, manageable internet based “Internet of Vehicle” (IoV). IoV is a vehicular network model consisting of vehicles, users and other smart devices connected to network and aims to provide various safety as well as entertainment services. Vehicles in IoV system are equipped with different sensors that collect different types of data and send it to computation unit for computation and analysis, based on which directions and other information is sent to each vehicle. We present a model overview of IoV system in this paper. Security in IoV becomes of paramount importance as any system failure directly affects user safety. In this paper, we discuss security issues, various security attacks and their countermeasures from IoV perspective. We also propose an authentication mechanism for Vehicle-to-Infrastructure (V2I) communication in IoV.
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Malicious attacks are initiated with intent to harm participating nodes, are dangerous, and can cause significant damage.
“With malicious attacks, rather than attackers benefiting from the attacks, they are instead initiated with the intent of harming participating nodes. These attacks are dangerous and can cause significant damage.”
From Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions (2024) · cites this paper as [104]
Malicious attackers can transmit false safety-critical information that puts drivers, passengers, and pedestrians in danger.
“Malicious attackers can even transmit false safety-critical information that puts drivers, passengers, and pedestrians in danger [59,78,102,103,104].”
From Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions (2024) · cites this paper as [104]
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- Authors
- Sharma, N., Chauhan, N., & Chand, N.
- Affiliations
- National Institute of Technology Hamirpur (BD)
- Venue
- 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)
- Publisher
- IEEE
- Published
- 2018-12
- Pages
- 203-207
- OpenAlex
- W2942723037
- Cited by
- 53
- References
- 13
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 10 · 2023: 7 · 2022: 15 · 2021: 9 · 2020: 2 · 2019: 1
- FWCI
- 4.79
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Secure Cyber Computing and Communications (ICSCCC) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Mechanical Engineering › IoT and GPS-based Vehicle Safety Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Keywords
- Internet of Vehicles, vehicular ad hoc networks, VANET security, security attacks, countermeasures, authentication mechanisms, vehicle-to-infrastructure communication, Internet of Things, automotive sensors
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