Q1 2026

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

Chengzhi Yu · Menglong Qi · Han Luo · Jie Tian · Jintian Lu
10.1007/s44443-026-00972-4 400 المشاهدات 0 الاقتباسات
0
الاقتباسات
400
المشاهدات
الملخص

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.

الاستشهاد بهذا المقال (APA)
Chengzhi, Y., Menglong, Q., Han, L., Jie, T., Jintian, L. (2026). MQTT-L: a lightweight end-to-end secure protocol with renewable hash chains for IoT environments. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1007/s44443-026-00972-4
أبحاث ذات صلة
A lightweight model for indoor object detection in unstructured scenes based on joint attention and …
Zhizhong Xing; Leping Li; Ying Yang; Wei Zhou; Guolan Ma; Shaochun Chen; Lechun · 2026
13
استشهاد
424
DDM-YOLO: A lightweight oriented detection model for mature daylily fruits in complex environments
Minqiu Kuang; Xuejie Zou; Fangping Xie; Xiaojian Li; Shang Chen; Dawei Liu; Yuxu · 2026
8
استشهاد
430
Information guided Levy flight for robot search in unknown environments
Weitao Zhao; Zati Hakim Azizul; Xin Lyu; Weijie Kuang · 2026
4
استشهاد
411
3
استشهاد
504
Bridging the gap: A comprehensive survey on AI-driven digital twin networks for future wireless syst…
Yousef Sanjalawe; Salam Fraihat; Salam Al-E’mari; Sharif Naser Makhadmeh · 2026
3
استشهاد
417
الوصول
عرض النص الكامل عبر DOI
نُشر في
الرقم الدولي ISSN 1319-1578
الربعية Q1
درجة المؤشر القياس العربي 100
التخصص Computer Science & AI
الناشر Elsevier / King Saud University
الدولة 🇸🇦 Saudi Arabia
عرض ملف المجلة →
المؤلفون
تفاصيل النشر
السنة 2026
اللغة English
أُضيف في 06 Jul 2026