Cryptanalysis and Improvement of the SMEP-IoV Protocol: A Secure and Lightweight Protocol for Message Exchange in IoV Paradigm

The Internet of Vehicles (IoV) is a rapidly evolving technology that provides real-time connectivity, enhanced road safety, and reduced traffic congestion; however, its inherently open communication channels expose it to serious security and privacy threats. In 2021, Chaudhry proposed SMEP-IoV, a lightweight message authentication protocol designed to satisfy essential security requirements. This paper presents a comprehensive security analysis of SMEP-IoV and reveals several serious vulnerabilities. Specifically, sensitive credentials are stored in plaintext without tamper-resistant protection, and both authentication and session key derivation depend directly on these credentials. These structural flaws allow an adversary to extract the stored secrets, generate valid authentication messages, and derive the established session key, enabling vehicle impersonation and session key disclosure attacks. Moreover, compromise of long-term secrets facilitates key compromise impersonation attacks. It also fails to ensure anonymity and perfect forward secrecy. To address these issues, we propose an enhanced authentication protocol for resource-constrained IoV environments, leveraging a three-factor authentication mechanism combined with lightweight cryptographic primitives. Formal security analyses using BAN logic, Tamarin, and ProVerif confirm its resilience against known attacks, while NS-3 simulations validate its scalability, high throughput, and low End-to-End Delay (E2ED). The results highlight the protocol as a robust, efficient, and scalable solution for large-scale IoV deployments.

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Publication Details

Journal
IoT
Published
2026-03-31
DOI
https://doi.org/10.3390/iot7020031
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
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article

Cryptanalysis and Improvement of the SMEP-IoV Protocol: A Secure and Lightweight Protocol for Message Exchange in IoV Paradigm

Shadi Atalla, Parvin Rastegari, Shahrzad Saremi, Gelare Oudi Ghadim et al.
IoT
Vehicular Ad Hoc Networks (VANETs)
article

Cryptanalysis and Improvement of the SMEP-IoV Protocol: A Secure and Lightweight Protocol for Message Exchange in IoV Paradigm

Shadi Atalla, Parvin Rastegari, Shahrzad Saremi, Gelare Oudi Ghadim, Yassine Himeur, Mohammad Dakhilalian, Faramarz Hendessi, Rania Shibl, Wathiq Mansoor
article en

Abstract

The Internet of Vehicles (IoV) is a rapidly evolving technology that provides real-time connectivity, enhanced road safety, and reduced traffic congestion; however, its inherently open communication channels expose it to serious security and privacy threats. In 2021, Chaudhry proposed SMEP-IoV, a lightweight message authentication protocol designed to satisfy essential security requirements. This paper presents a comprehensive security analysis of SMEP-IoV and reveals several serious vulnerabilities. Specifically, sensitive credentials are stored in plaintext without tamper-resistant protection, and both authentication and session key derivation depend directly on these credentials. These structural flaws allow an adversary to extract the stored secrets, generate valid authentication messages, and derive the established session key, enabling vehicle impersonation and session key disclosure attacks. Moreover, compromise of long-term secrets facilitates key compromise impersonation attacks. It also fails to ensure anonymity and perfect forward secrecy. To address these issues, we propose an enhanced authentication protocol for resource-constrained IoV environments, leveraging a three-factor authentication mechanism combined with lightweight cryptographic primitives. Formal security analyses using BAN logic, Tamarin, and ProVerif confirm its resilience against known attacks, while NS-3 simulations validate its scalability, high throughput, and low End-to-End Delay (E2ED). The results highlight the protocol as a robust, efficient, and scalable solution for large-scale IoV deployments.

IoTVol. 7(2)
University of Dubai (AE), University of Baghdad (IQ), Isfahan University of Technology (IR), University of the Sunshine Coast (AU), Golpayegan University of Engineering (IR)
Openalex Percentile: Top 33%
Vehicular Ad Hoc Networks (VANETs)
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