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Artificial Intelligence Algorithms for Detecting and Classifying MQTT Protocol Internet of Things Attacks

https://doi.org/10.3390/electronics11223837

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-64758-2_6openalex-snapshot

Machine Learning Based IoT Intrusion Detection System: An MQTT Case Study (MQTT-IoT-IDS2020 Dataset)

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Internet of Things From Hype to Reality

inferredcites →https://doi.org/10.1007/s11227-020-03323-wopenalex-snapshot

The DDoS attacks detection through machine learning and statistical methods in SDN

inferredcites →https://doi.org/10.1016/j.ins.2020.08.068openalex-snapshot

A distributed sensor-fault detection and diagnosis framework using machine learning

inferredcites →https://doi.org/10.1016/j.jnca.2021.103108openalex-snapshot

Automated DDOS attack detection in software defined networking

inferredcites →https://doi.org/10.1016/j.neucom.2015.08.112openalex-snapshot

Efficient kNN classification algorithm for big data

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Investigating Messaging Protocols for the Internet of Things (IoT)

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Deep Belief Network Integrating Improved Kernel-Based Extreme Learning Machine for Network Intrusion Detection

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A Comparison of Two-Stage Classifier Algorithm with Ensemble Techniques On Detection of Diabetic Retinopathy

inferredcites →https://doi.org/10.1109/comitcon.2019.8862233openalex-snapshot

Smart Agriculture using Internet of Things and MQTT Protocol

inferredcites →https://doi.org/10.1109/comst.2015.2494502openalex-snapshot

A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

inferredcites →https://doi.org/10.1109/comst.2018.2847722openalex-snapshot

A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection

inferredcites →https://doi.org/10.1109/comswa.2008.4554519openalex-snapshot

MQTT-S — A publish/subscribe protocol for Wireless Sensor Networks

inferredcites →https://doi.org/10.1109/gcce46687.2019.9015252openalex-snapshot

Process-Based Intrusion Detection Method for IoT System with MQTT Protocol

inferredcites →https://doi.org/10.1109/icdcs.2007.142openalex-snapshot

Streaming Algorithms for Robust, Real-Time Detection of DDoS Attacks

inferredcites →https://doi.org/10.1109/icsrs.2017.8272822openalex-snapshot

Reliability side-effects in Internet of Things application layer protocols

inferredcites →https://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00183openalex-snapshot

CoAP and MQTT Based Models to Deliver Software and Security Updates to IoT Devices over the Air

inferredcites →https://doi.org/10.1109/jsyst.2020.2984797openalex-snapshot

Modeling and Detection of Flooding-Based Denial-of-Service Attack in Wireless Ad Hoc Network Using Bayesian Inference

inferredcites →https://doi.org/10.1109/latincom53176.2021.9647850openalex-snapshot

A Network Intrusion Detection System using Deep Learning against MQTT Attacks in IoT

inferredcites →https://doi.org/10.1109/r10-htc.2016.7906845openalex-snapshot

MQTT based home automation system using ESP8266

inferredcites →https://doi.org/10.1109/robionetics.2018.8674672openalex-snapshot

Online Monitoring & Controlling Industrial Arm Robot Using MQTT Protocol

inferredcites →https://doi.org/10.1109/rteict.2017.8256958openalex-snapshot

Wireless home automation and security system using MQTT protocol

inferredcites →https://doi.org/10.1109/tenconspring.2017.8070095openalex-snapshot

A low cost smart irrigation system using MQTT protocol

inferredcites →https://doi.org/10.1109/upec.2019.8893617openalex-snapshot

Smart home automation with MQTT

inferredcites →https://doi.org/10.1145/3368235.3368876openalex-snapshot

MEML: Resource-aware MQTT-based Machine Learning for Network Attacks Detection on IoT Edge Devices

inferredcites →https://doi.org/10.1155/2019/6516253openalex-snapshot

Multiclass Classification Procedure for Detecting Attacks on MQTT‐IoT Protocol

inferredcites →https://doi.org/10.21015/vtse.v13i1.496openalex-snapshot

Comparison and Evaluation of Information Retrieval Models

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Osteoporosis Prediction for Trabecular Bone using Machine Learning: A Review

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Performance and Security Evaluation on a Blockchain Architecture for License Plate Recognition Systems

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Performance Investigation of Principal Component Analysis for Intrusion Detection System Using Different Support Vector Machine Kernels

inferredcites →https://doi.org/10.3390/en12244768openalex-snapshot

Method of Early Detection of Cyber-Attacks on Telecommunication Networks Based on Traffic Analysis by Extreme Filtering

inferredcites →https://doi.org/10.3390/iot2030022openalex-snapshot

Towards a Hybrid Deep Learning Model for Anomalous Activities Detection in Internet of Things Networks

inferredcites →https://doi.org/10.3390/s20061706openalex-snapshot

An Improved LDA-Based ELM Classification for Intrusion Detection Algorithm in IoT Application

inferredcites →https://doi.org/10.3390/s20226578openalex-snapshot

MQTTset, a New Dataset for Machine Learning Techniques on MQTT

inferredcites →https://doi.org/10.3390/s21092914openalex-snapshot

An Algorithm to Minimize Energy Consumption and Elapsed Time for IoT Workloads in a Hybrid Architecture

inferredcites →https://doi.org/10.3390/s21217016openalex-snapshot

A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT

inferredcites →https://doi.org/10.3390/s22062268openalex-snapshot

Artificial Intelligence Algorithms for Malware Detection in Android-Operated Mobile Devices

inferredcites →https://doi.org/10.3390/smartcities3030052openalex-snapshot

IoT-Enabled Smart Sustainable Cities: Challenges and Approaches

inferredcites →https://doi.org/10.3390/su12031035openalex-snapshot

Detecting DDoS Attacks in Software-Defined Networks Through Feature Selection Methods and Machine Learning Models

inferredcites →https://doi.org/10.3390/su122410571openalex-snapshot

Security and Privacy in Big Data Life Cycle: A Survey and Open Challenges

inferredcites →https://doi.org/10.3390/su13031522openalex-snapshot

Entropy Based Features Distribution for Anti-DDoS Model in SDN

inferredcites →https://doi.org/10.3390/technologies9010014openalex-snapshot

An Investigation into the Application of Deep Learning in the Detection and Mitigation of DDOS Attack on SDN Controllers

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-53085-2_18openalex-snapshot

VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-73110-5_42openalex-snapshot

Machine Learning for Intrusion Detection Systems: A Systematic Literature Review

inferred← citeshttps://doi.org/10.1007/978-3-031-87584-7_134openalex-snapshot

Enhancing IoT Security: A Machine Learning Approach for Intrusion Detection in the MQTT Protocol

inferred← citeshttps://doi.org/10.1007/978-3-032-10539-4_8openalex-snapshot

Comparing Machine Learning Algorithms for Detection and Prevention of Cyber-Attacks on IoT Devices: A Literature Review

inferred← citeshttps://doi.org/10.1007/978-3-032-16089-8_26openalex-snapshot

Detecting Anomalous Resource Consumption in EdgeAI-Based MQTT Brokers

inferred← citeshttps://doi.org/10.1007/978-3-032-20735-7_4openalex-snapshot

Evaluating Classical Machine Learning Models for Predicting Vulnerabilities in IoT Network Datasets

inferred← citeshttps://doi.org/10.1007/s10207-024-00828-wopenalex-snapshot

A survey on IoT application layer protocols, security challenges, and the role of explainable AI in IoT (XAIoT)

inferred← citeshttps://doi.org/10.1007/s10207-024-00935-8openalex-snapshot

Analysis of machine learning-based approaches for securing the Internet of Things in the smart industry: a multivocal state of knowledge review

inferred← citeshttps://doi.org/10.1007/s10586-026-06282-8openalex-snapshot

Attention-based intrusion detection in MQTT-IoT network: a federated learning and deep reinforcement learning approach

inferred← citeshttps://doi.org/10.1007/s11227-026-08485-7openalex-snapshot

MQTTFlowLyzer: interpretable TabNet-based flow-level MQTT intrusion detection for IoT

inferred← citeshttps://doi.org/10.1007/s42452-026-08563-8openalex-snapshot

DDoS attack detection and classification for the MQTT-IoT protocol using LSTM models

inferred← citeshttps://doi.org/10.1016/j.array.2023.100316openalex-snapshot

Capturing low-rate DDoS attack based on MQTT protocol in software Defined-IoT environment

inferred← citeshttps://doi.org/10.1016/j.cose.2025.104526openalex-snapshot

Identifying communication sequence anomalies to detect DoS attacks against MQTT

inferred← citeshttps://doi.org/10.1016/j.iot.2025.101624openalex-snapshot

A lightweight hybrid approach for intrusion detection systems using a chi-square feature selection approach in IoT

inferred← citeshttps://doi.org/10.1016/j.iot.2026.101959openalex-snapshot

Securing the constrained edge: Cross-layer threat detection for IoT protocols using a lightweight classifier

inferred← citeshttps://doi.org/10.1016/j.measen.2024.101212openalex-snapshot

Enhancing MQTT security for internet of things: Lightweight two-way authorization and authentication with advanced security measures

inferred← citeshttps://doi.org/10.1038/s41598-025-28516-2openalex-snapshot

ISAAF: an IoT security and attack prevention framework using AI-driven predictive analytics

inferred← citeshttps://doi.org/10.1109/fllm67465.2025.11391235openalex-snapshot

Comprehensive Attack Detection in MQTT IoT Systems Using Integrated Datasets

inferred← citeshttps://doi.org/10.1109/iccsai59793.2023.10420916openalex-snapshot

Detection and Classification of IoT Malware from MQTT Dataset

inferred← citeshttps://doi.org/10.1109/icicse67247.2025.11390870openalex-snapshot

ICCFR: An Iterative Cross-Correlation Feature Ranking Algorithm for Machine Learning-Based Intrusion Detection in MQTT IoT Systems

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Artificial Intelligence Algorithms for Retransmission-based Secured MQTT Protocol in Internet of Things Environment

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Machine Learning and Artificial Intelligence Algorithms that Minimize Power Consumption in Internet of Things Gadgets

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Improve Machine Learning Algorithms for DoS Detection in IoT Environments

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Performance Evaluation of Machine Learning Models for Real-Time Anomaly Detection in MQTT-Based IoT Networks

inferred← citeshttps://doi.org/10.1109/vtc2023-fall60731.2023.10333429openalex-snapshot

Reliable and Low-Latency Intrusion Detection System for Lightweight Internet of Things Environment

inferred← citeshttps://doi.org/10.32604/cmc.2024.059271openalex-snapshot

IoT-CDS: Internet of Things Cyberattack Detecting System Based on Deep Learning Models

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Integrating IoT and Image Processing for Crop Monitoring: A LoRa-Based Solution for Citrus Pest Detection

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Cyber Security for Detecting Distributed Denial of Service Attacks in Agriculture 4.0: Deep Learning Model

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Secure Enhancement for MQTT Protocol Using Distributed Machine Learning Framework

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Design of Efficient Based Artificial Intelligence Approaches for Sustainable of Cyber Security in Smart Industrial Control System

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Integrating Blockchain, MQTT, and Machine Learning for Enhanced IoT Applications: A Comprehensive Survey

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