DLKS-MQTT: A Lightweight Key Sharing Protocol for Secure IoT Communications

The increasing reliance on Message Queuing Telemetry Transport (MQTT) as a lightweight messaging protocol for Internet of Things (IoT) applications requires robust security mechanisms that address resource constraints while ensuring data integrity, confidentiality, and authenticity. This paper proposes the Dynamic Lightweight Key Sharing for MQTT (DLKS-MQTT) mechanism, a novel approach that integrates ephemeral key generation, streamlined authentication, and lightweight cryptographic operations to enhance the security of MQTT-based IoT communications. The mechanism employs a 128-bit key generated using a Linear Congruential Generator (LCG), providing robust resistance to brute-force and cryptanalytic attacks while maintaining computational and energy efficiency. Through extensive performance evaluations, DLKS-MQTT demonstrates significant improvements: reducing CPU energy consumption to 0.000002 mJ, achieving an execution time of 0.40 s, and minimizing communication overhead to 60 bytes, outperforming existing methods such as Dynamic Lightweight Authentication for MQTT (DLA-MQTT), Improved Ciphertext Policy-Attribute-Based Encryption (ICP-ABE), and Secure MQTT (SMQTT). The use of ephemeral session keys and nonces ensures protection against replay and Man-in-the-Middle (MitM) attacks, whereas lightweight hashing guarantees message integrity without burdening resource-constrained devices. This work establishes DLKS-MQTT as a practical, scalable, and secure solution for modern IoT networks, offering a balance between performance and security.

Authors

Publication Details

Journal
Engineering Technology & Applied Science Research
Published
2025-04-03
DOI
https://doi.org/10.48084/etasr.10216
Citations
4
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
5.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DLKS-MQTT: A Lightweight Key Sharing Protocol for Secure IoT Communications

Nagaraj G. Cholli, Sharadadevi Kaganurmath, M R Anala
4 citations
Engineering Technology & Applied Science Research
IoT and Edge/Fog Computing
5.95
article

DLKS-MQTT: A Lightweight Key Sharing Protocol for Secure IoT Communications

Nagaraj G. Cholli, Sharadadevi Kaganurmath, M R Anala
article en
4 citations

Abstract

The increasing reliance on Message Queuing Telemetry Transport (MQTT) as a lightweight messaging protocol for Internet of Things (IoT) applications requires robust security mechanisms that address resource constraints while ensuring data integrity, confidentiality, and authenticity. This paper proposes the Dynamic Lightweight Key Sharing for MQTT (DLKS-MQTT) mechanism, a novel approach that integrates ephemeral key generation, streamlined authentication, and lightweight cryptographic operations to enhance the security of MQTT-based IoT communications. The mechanism employs a 128-bit key generated using a Linear Congruential Generator (LCG), providing robust resistance to brute-force and cryptanalytic attacks while maintaining computational and energy efficiency. Through extensive performance evaluations, DLKS-MQTT demonstrates significant improvements: reducing CPU energy consumption to 0.000002 mJ, achieving an execution time of 0.40 s, and minimizing communication overhead to 60 bytes, outperforming existing methods such as Dynamic Lightweight Authentication for MQTT (DLA-MQTT), Improved Ciphertext Policy-Attribute-Based Encryption (ICP-ABE), and Secure MQTT (SMQTT). The use of ephemeral session keys and nonces ensures protection against replay and Man-in-the-Middle (MitM) attacks, whereas lightweight hashing guarantees message integrity without burdening resource-constrained devices. This work establishes DLKS-MQTT as a practical, scalable, and secure solution for modern IoT networks, offering a balance between performance and security.

Engineering Technology & Applied Science ResearchVol. 15(2)
Openalex Percentile: Top 4%
IoT and Edge/Fog Computing
5.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

DLKS-MQTT: A Lightweight Key Sharing Protocol for Secure IoT Communications — Nagaraj G. Cholli, Sharadadevi Kaganurmath, et al. · Engineering Technology & Applied Science Research (2025) | TGRS Research Map | TGRS