Cybersecurity and Privacy in IoT-Based Electric Vehicle Ecosystems
Year: 2025
Type: article
Abstract: The rapid growth of electric vehicles (EVs) has been accompanied by the increased use of the Internet of Things (IoT) technology to enhance the functionality and efficiency of EV systems. IoT-enabled EVs allow real-time monitoring, smart charging, navigation, and vehicle-to-grid (V2G) communication. However, the integration of IoT into EV ecosystems raises significant concerns regarding cybersecurity and privacy. This paper explores the security and privacy challenges in IoT-based electric vehicle ecosystems and discusses the vulnerabilities that may arise from the interconnectedness of EVs, charging stations, and external infrastructure. We examine potential cyber threats, including data breaches, unauthorized access, and denial-of-service (DoS) attacks, that can compromise the integrity of EV systems. Moreover, we propose mitigation strategies for addressing these challenges, such as secure communication protocols, data encryption, and decentralized control mechanisms. Additionally, we discuss privacy concerns related to the collection and sharing of sensitive data, such as vehicle location and user behavior, and suggest approaches to protect user privacy through anonymization and data protection frameworks. This paper aims to provide a comprehensive understanding of the cybersecurity and privacy risks in IoT-based EV ecosystems and offer potential solutions to mitigate these risks.
Author: Saeed Hasan Nabil, Md. Tanvir Hossain, Amir Razaq, Mazedur Rahman
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7084397140