An Analysis of Anonymous MQTT for Publish-Subscribe-Based IoT Networks

Message queuing telemetry transport (MQTT) is widely used as a communication primitive in publish-subscribe-based IoT applications. However, the current MQTT standard does not support the privacy of IoT devices and users. Therefore, in this paper, we address the anonymous communications for MQTT-based IoT networks by tailored onion routing. To this end, we first introduce the concept of distributed IoT broker networks, in which a collection of IoT brokers are interconnected with each other. These brokers serve as onion routers. Then, we propose a generic anonymous messaging protocol (A-MQTT) for publish-subscribe-based IoT systems. Unlike typical anonymous communications, there are multiple destination IoT devices, called subscribers, in MQTT contexts. Hence, the privacy notions, such as traceable rate, device anonymity, and path anonymity, are redesigned. To illuminate the fundamental privacy issues, closed-form approximations for these privacy metrics are modeled. In addition, simulation results demonstrate that our A-MQTT significantly improves the security performance and that our proposed models closely approximate the various privacy performance. Furthermore, a proof-of-concept protocol is implemented on a Raspberry Pi 4 in order to show that the proposed A-MQTT can be deployed in an IoT environment.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Network Science and Engineering
Published
2025-04-03
DOI
https://doi.org/10.1109/tnse.2025.3557506
Citations
4
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
16.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Analysis of Anonymous MQTT for Publish-Subscribe-Based IoT Networks

Wei‐Shinn Ku, Min-Te Sun, Kazuya Sakai, Yoshihisa Fukushima et al.
4 citations
IEEE Transactions on Network Science and Engineering
Privacy, Security, and Data Protection
16.81
article

An Analysis of Anonymous MQTT for Publish-Subscribe-Based IoT Networks

Wei‐Shinn Ku, Min-Te Sun, Kazuya Sakai, Yoshihisa Fukushima, Hotaru Tsunamoto
article en
4 citations

Abstract

Message queuing telemetry transport (MQTT) is widely used as a communication primitive in publish-subscribe-based IoT applications. However, the current MQTT standard does not support the privacy of IoT devices and users. Therefore, in this paper, we address the anonymous communications for MQTT-based IoT networks by tailored onion routing. To this end, we first introduce the concept of distributed IoT broker networks, in which a collection of IoT brokers are interconnected with each other. These brokers serve as onion routers. Then, we propose a generic anonymous messaging protocol (A-MQTT) for publish-subscribe-based IoT systems. Unlike typical anonymous communications, there are multiple destination IoT devices, called subscribers, in MQTT contexts. Hence, the privacy notions, such as traceable rate, device anonymity, and path anonymity, are redesigned. To illuminate the fundamental privacy issues, closed-form approximations for these privacy metrics are modeled. In addition, simulation results demonstrate that our A-MQTT significantly improves the security performance and that our proposed models closely approximate the various privacy performance. Furthermore, a proof-of-concept protocol is implemented on a Raspberry Pi 4 in order to show that the proposed A-MQTT can be deployed in an IoT environment.

IEEE Transactions on Network Science and EngineeringVol. 12(4)
National Central University (TW), Tokyo Metropolitan University (JP), Auburn University (US)
Openalex Percentile: Top 1%
Privacy, Security, and Data Protection
16.81
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.