Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research

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A Darknet Traffic Analysis for IoT Malwares Using Association Rule Learning

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A misuse Pattern for DDoS in the IoT

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Construing Attacks of Internet of Things (IoT) and A Prehensile Intrusion Detection System for Anomaly Detection Using Deep Learning Approach

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DDoS Reflection Attack Based on IoT: A Case Study

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A Comprehensive Methodology for Deploying IoT Honeypots

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UCAM: Usage, Communication and Access Monitoring Based Detection System for IoT Botnets

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Defending DDoS in the Insecure Internet of Things: A Survey

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Intelligent Security Monitoring in Time Series of DDoS attack on IoT Networks using Grammar base Filtering and Clustering

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Linked-Behaviors Profiling in IoT Networks Using Network Connection Graphs (NCGs)

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FIREWORK: Fog Orchestration for Secure IoT Networks

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A Survey of DDOS Attack Detection Techniques for IoT Systems Using BlockChain Technology

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BOTA: Explainable IoT Malware Detection in Large Networks

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Cross Deep Learning Method for Effectively Detecting the Propagation of IoT Botnet

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A Lightweight Method for Botnet Detection in Internet of Things Environment

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Edge security for SIP-enabled IoT devices with P4

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Internet of Things botnets: A survey on Artificial Intelligence based detection techniques

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Machine Learning Approaches for Botnet Detection in Network Traffic

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AI-based botnet attack classification and detection in IoT devices

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Internet of Things (IoT) Security Enhancement Using XGboost Machine Learning Techniques

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IoT Botnet Attack Detection Model Based on DBO-Catboost

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Insect-based organic waste management: a sustainable pathway to enhanced ecosystem services and food security

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IoT Malware Detection Using Function-Call-Graph Embedding

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Performance Improvement of Random Forest Algorithm for Malware Detection on Imbalanced Dataset using Random Under-Sampling Method

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A Hybrid Technique Based on RF-PCA and ANN for Detecting DDoS Attacks IoT

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SHAP-based intrusion detection in IoT networks using quantum neural networks on IonQ hardware

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Machine Learning White-Hat Worm Launcher for Tactical Response by Zoning in Botnet Defense System

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Detection of HTTP DDoS Attacks Using NFStream and TensorFlow

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Modular neural network for edge-based detection of early-stage IoT botnet

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Your IP Camera Can Be Abused for Payments: A Study of IoT Exploitation for Financial Services Leveraging Shodan and Criminal Infrastructures

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Transformers model for DDoS attack detection: A survey

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Adaptive DBSCAN with Grey Wolf Optimizer for Botnet Detection

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An approach to botnet attacks in the fog computing layer and Apache Spark for smart cities

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A Systematic Literature Review: Classifying IoT Botnet Data Features Based on Its Lifecycle

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A Proposed Framework for Early Detection IoT Botnet

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MONDEO-Tactics5G: Multistage botnet detection and tactics for 5G/6G networks

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IoT-Cloud Assisted Botnet Detection Using Rat Swarm Optimizer with燚eep燣earning

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Evaluation of machine learning and deep learning methods for early detection of internet of things botnets

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Detecting IoT Botnet in 5G Core Network Using Machine Learning

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A Comprehensive Review of Cybersecurity Threats to Wireless Infocommunications in the Quantum-Age Cryptography

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Constructing IoT Botnet Detection Model Based on Degree Centrality and Path Analysis

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Efficient Hybrid Model for Botnet Detection Using Machine Learning

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Feature selection for IoT botnet detection using equilibrium and Battle Royale Optimization

Baker, Q. B., & Samarneh, A. A. (2024) · Computers & Security · doi:10.1016/j.cose.2024.104060 · Cited by 5 · see citing works

Adapting to the Evolution: Enhancing Intrusion Detection Through Machine Learning in the QUIC Protocol Era

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The Applications of Blockchains in Addressing the Integration and Security of IoT Systems: A Survey

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Integration of blockchain technology into smart cities for information security: Research constituents and need of research

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Deep Learning-Based Detection of IoT Botnet Attacks: An Exploration of Residual Networks

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Response Generation Honeypot With Antidetection Capabilities for IoT Botnet Lifecycle Detection

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Attacks Come to Those Who Wait: Long-Term Observations in an SSH Honeynet

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Iot botnet intrusion detection system using federated learning techniques

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Smart Botnet Detection in IoT using Stacked Neural Networks

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Hash-Based Function Call Graph Fusion Method for IoT Malware Detection

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Traffic Classification For Botnet Detection Using Deep Learning

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Hierarchical Classification of Botnet Using Lightweight CNN

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A CNN based deep learning model for detecting P2P Botnets using flow features

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Detection and Mitigation in IoT Ecosystems Using oneM2M Architecture and Edge-Based Machine Learning

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Agentic AI and Large Language Models for Autonomous IoT Cybersecurity: A Systematic Survey, Taxonomy, and Research Roadmap

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IoT botnets Unveiled: architectural analysis, threat vectors, and cutting-edge detection techniques

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Efficient Scanning Activity Detection in IoT Networks Using Ensemble Learning

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Detecting Iot Botnet Attacks: A Machine Learning Paradigm

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A Review of Backdoor Control Techniques for Embedded Devices

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Exploring Machine Learning Approaches for Botnet Detection in IoT Networks: A Review

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Improving spam botnet detection through convolutional model and geolocation feature enhancement in a novel three-class classification task

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On the Use of Low-Cost IoT Devices to Perpetrate Slow DoS Attacks

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Research on botnet detection technology in network security

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Botnets in Healthcare: Threats, Vulnerabilities, and Mitigation Strategies

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A Comprehensive Review of Internet-of-Things (IoT) Botnet Detection Techniques

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Ensemble Learning Techniques for the Detection of IoT Botnets

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Exploring Deep Learning Architectures for Enhanced Cyber Threat Detection: A Survey

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Quantum-Enhanced IoT-Cloud Security: Integrating SHAP and Variational Quantum Classifiers

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Combating evolving threats: A robust malicious domain detection framework for distributed networks

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Leveraging Random Forest to Detect Botnet Attacks in IoT Environments

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Botnet Detection in IoT Networks Using Hybrid Deep Learning CNN, LSTM, and GRU

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Security Challenges and Mitigation Strategies for Internet of Medical Things (IoMT): A Cross-Layer Analysis of Embedded Systems and Networked Environments

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A Survey on IOT Botnets and their Detection Approaches

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A review of machine learning techniques and challenges in online Botnet detection

Haidar, D., & Husien, I. M. (2025) · AIP conference proceedings · doi:10.1063/5.0274147 · Cited by 1 · see citing works

Analysis of Data Obtained from the Mobile Botnet

Kobiela, J., & Urbaniec, P. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-48348-6_2

Neglected Cyber Threats on the Rise: Combatting IoT Botnet Infection Techniques through the Elucidation of Machine Learning

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Advancing Immune Disorder Prediction on a Machine Learning Approach for Enhanced Accuracy

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Securing Cyberspace: Traditional vs. IoT Botnets-A Machine Learning Classification Approach

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Towards Establishing the Role of LLMs in Botnet Detection: Effective Prompts for Source Code Analysis

Miller, S. T., & Busby-Earle, C. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-73128-0_18

Performance Evaluation of Botnet Attack Detection Using XAI

Divakarla, U., & Chandrasekaran, K. (2024) · IEEE Region 10 Symposium (TENSYMP) · doi:10.1109/tensymp61132.2024.10752294

Integrating Deep Learning with IOT: Combined Strategies for Botnet Detection

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An Ensemble Rule Extraction Algorithm Based on Interpretable Greedy Trees for Detecting Malicious Traffic*

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Distributed BERT-based Detection Systems for IoT Networks Against Coordinated Bot Attacks

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Detecting IoT Botnet Attacks Using Explainable Artificial Intelligence (XAI) with Decision Tree and Random Forest

Shiddiqi, A. M., Purba, R. C., & Pratomo, B. A. (2025) · International Conference on Smart Computing, IoT and Machine Learning (SIML) · doi:10.1109/siml65326.2025.11080918

Lightweight Edge Computing Framework for IoT Botnet Detection in Dynamic Environment

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Botnet Attacks Detection in IoT Smart Homes: A Machine Learning Approach

Ali, H. A. S., Rani, J. V., & Challa, M. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-96-9716-8_12

Advancements in AI-Based Botnet Detection Techniques for IoT Networks: A Comprehensive Survey

Das, R., Deka, V., Devi, R., Dey, A., Sharma, M., & Taye, G. (2026) · Lecture notes in networks and systems · doi:10.1007/978-981-96-9935-3_11

A Hybrid Rule-Based and Machine Learning Approach for Distributed Denial of Service (DDoS) Attack Detection and Mitigation in Wireless Sensor Network–Enabled Smart Healthcare Systems

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