MQTT-L: a lightweight end-to-end secure protocol with renewable hash chains for IoT environments

Abstract The Message Queuing Telemetry Transport (MQTT) protocol has become a de-facto standard for lightweight communication in the Internet of Things. However, the standard MQTT lacks built-in security mechanisms for authentication and end-to-end data protection. Existing research has enhanced MQTT security via TLS, reliance on trusted authorities, and lightweight cryptographic extensions, but these approaches suffer from significant computational overhead, heavy reliance on trusted Brokers, and poor scalability in resource-constrained environments. Accordingly, this paper proposes MQTT-L, a lightweight end-to-end secure protocol designed for resource-constrained devices. MQTT-L introduces salt-driven renewable one-way hash chains to achieve lightweight Client-to-Broker authentication and fast reconnection. Furthermore, a key agreement mechanism based on extended Chebyshev chaotic maps is designed to establish end-to-end session keys, and the ChaCha20-Poly1305 cipher is integrated into MQTT-L to ensure the confidentiality and integrity of end-to-end messages. To verify the security and authentication properties of MQTT-L, we utilize the well-known ProVerif tool for formal security verification and further prove its security informally. Finally, performance evaluations, including theoretical analysis, and experimental evaluations conducted on a Mosquitto MQTT Broker testbed, demonstrate the superiority of MQTT-L over existing schemes and TLS-MQTT.

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Publication Details

Journal
Journal of King Saud University - Computer and Information Sciences
Published
2026-06-25
DOI
https://doi.org/10.1007/s44443-026-00972-4
Primary Topic
Advanced Authentication Protocols Security
Type
article
Field-Weighted Citation Impact
0.00

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article

MQTT-L: a lightweight end-to-end secure protocol with renewable hash chains for IoT environments

Jintian Lu, Han Luo, Chengzhi Yu, Jie Tian et al.
Journal of King Saud University - Computer and Information Sciences
Advanced Authentication Protocols Security
article

MQTT-L: a lightweight end-to-end secure protocol with renewable hash chains for IoT environments

Jintian Lu, Han Luo, Chengzhi Yu, Jie Tian, Menglong Qi
article en

Abstract

Abstract The Message Queuing Telemetry Transport (MQTT) protocol has become a de-facto standard for lightweight communication in the Internet of Things. However, the standard MQTT lacks built-in security mechanisms for authentication and end-to-end data protection. Existing research has enhanced MQTT security via TLS, reliance on trusted authorities, and lightweight cryptographic extensions, but these approaches suffer from significant computational overhead, heavy reliance on trusted Brokers, and poor scalability in resource-constrained environments. Accordingly, this paper proposes MQTT-L, a lightweight end-to-end secure protocol designed for resource-constrained devices. MQTT-L introduces salt-driven renewable one-way hash chains to achieve lightweight Client-to-Broker authentication and fast reconnection. Furthermore, a key agreement mechanism based on extended Chebyshev chaotic maps is designed to establish end-to-end session keys, and the ChaCha20-Poly1305 cipher is integrated into MQTT-L to ensure the confidentiality and integrity of end-to-end messages. To verify the security and authentication properties of MQTT-L, we utilize the well-known ProVerif tool for formal security verification and further prove its security informally. Finally, performance evaluations, including theoretical analysis, and experimental evaluations conducted on a Mosquitto MQTT Broker testbed, demonstrate the superiority of MQTT-L over existing schemes and TLS-MQTT.

Journal of King Saud University - Computer and Information Sciences
Jishou University (CN)
Natural Science Foundation of Hainan Province
Openalex Percentile: Top 4%
Advanced Authentication Protocols Security
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MQTT-L: a lightweight end-to-end secure protocol with renewable hash chains for IoT environments — Jintian Lu, Han Luo, et al. · Journal of King Saud University - Computer and Information Sciences (2026) | TGRS Research Map | TGRS