Impact of Intelligent Technologies on IoV Security: Integrating Edge Computing and AI
arXiv SecurityArchived Apr 14, 2026✓ Full text saved
arXiv:2604.10052v1 Announce Type: new Abstract: The rapid development and integration of intelligent technologies in the Internet of Vehicles (IoV) have revolutionized transportation systems by enhancing connectivity, automation, and safety. However, the complexity and connectivity of IoV networks also introduce security challenges, including data privacy concerns, cyber threats, and system vulnerabilities. This paper surveys the role of Edge Computing (EC), Machine Learning (ML), and Deep Learn
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Computer Science > Cryptography and Security
[Submitted on 11 Apr 2026]
Impact of Intelligent Technologies on IoV Security: Integrating Edge Computing and AI
Awais Bilal, Kashif Sharif, Liehuang Zhu, Chang Xu, Fan Li, Sadaf Bukhari, Sujit Biswas
The rapid development and integration of intelligent technologies in the Internet of Vehicles (IoV) have revolutionized transportation systems by enhancing connectivity, automation, and safety. However, the complexity and connectivity of IoV networks also introduce security challenges, including data privacy concerns, cyber threats, and system vulnerabilities. This paper surveys the role of Edge Computing (EC), Machine Learning (ML), and Deep Learning (DL) in strengthening IoV security frameworks. It examines the synergy between these technologies, highlighting their individual capabilities and their collective impact on enhancing threat detection, response times, and adaptive security. Through real world case studies and practical deployments, we demonstrate how EC, ML, and DL are currently improving security and operational efficiency in IoV systems. The paper also identifies key research gaps and future directions for further advancements in IoV security, including the need for scalable, privacy preserving solutions and robust defense mechanisms against emerging cyber threats. By integrating EC, ML, and DL, this work lays the groundwork for developing adaptive, efficient, and resilient IoV security infrastructures capable of addressing evolving challenges in the transportation ecosystem.
Subjects: Cryptography and Security (cs.CR); Networking and Internet Architecture (cs.NI)
Cite as: arXiv:2604.10052 [cs.CR]
(or arXiv:2604.10052v1 [cs.CR] for this version)
https://doi.org/10.48550/arXiv.2604.10052
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Submission history
From: Kashif Sharif [view email]
[v1] Sat, 11 Apr 2026 06:25:38 UTC (2,044 KB)
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