Intelligent Detection of IoT Botnets Using Machine Learning and Deep Learning

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Security attacks in IoT: A survey

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Botnet Detection in the Internet of Things using Deep Learning Approaches

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Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection

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Extended Functionality Attacks on IoT Devices: The Case of Smart Lights

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The Evolution of Bashlite and Mirai IoT Botnets

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Analysis of Eight Data Mining Algorithms for Smarter Internet of Things (IoT)

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Deep Learning for Detection of Routing Attacks in the Internet of Things

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Securing SDN Infrastructure of IoT–Fog Networks From MitM Attacks

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Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments

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A Passivity Framework for Modeling and Mitigating Wormhole Attacks on Networked Control Systems

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Detecting Sinkhole Attack in Wireless Sensor Network

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Network Forensics for Detecting Flooding Attack on Internet of Things (IoT) Device

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An Adaptive Resource Allocation Model With Anti-Jamming in IoT Network

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Wormhole Attack: a Major Security Concern in Internet of Things (Iot)

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Identifying and Characterizing Bashlite and Mirai C&C Servers

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An Approach to Discover the Sinkhole and Selective Forwarding Attack in IoT

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Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review

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Botnet Attack Detection Using Local Global Best Bat Algorithm for Industrial Internet of Things

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Federated learning-based intrusion detection system for the internet of things using unsupervised and supervised deep learning models

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CPS-GUARD: Intrusion detection for cyber-physical systems and IoT devices using outlier-aware deep autoencoders

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Challenges in detecting security threats in WoT: a systematic literature review

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Anomaly detection in Internet of Things using feature selection and classification based on Logistic Regression and Artificial Neural Network on N-BaIoT dataset

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BoostedEnML: Efficient Technique for Detecting Cyberattacks in IoT Systems Using Boosted Ensemble Machine Learning

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A comprehensive survey on deep learning‐based intrusion detection systems in Internet of Things ( IoT )

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A Survey on Botnets: Incentives, Evolution, Detection and Current Trends

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Detecting cyberthreats in Metaverse learning platforms using an explainable DNN

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Detection and Multi-Class Classification of Intrusion in Software Defined Networks Using Stacked Auto-Encoders and CICIDS2017 Dataset

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Securing MQTT protocol for IoT environment using IDS based on ensemble learning

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Unmasking Cybercrime with Artificial-Intelligence-Driven Cybersecurity Analytics

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Leveraging Deep Learning to Strengthen the Cyber-Resilience of Renewable Energy Supply Chains: A Survey

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A Systematic Review of Data-Driven Attack Detection Trends in IoT

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DDoSViT: IoT DDoS attack detection for fortifying firmware Over-The-Air (OTA) updates using vision transformer

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Stacked Deep Learning Framework for Edge-Based Intelligent Threat Detection in IoT Network

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Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches

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XRecon: An Explainbale IoT Reconnaissance Attack Detection System Based on Ensemble Learning

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Detection of botnet in IoT network through machine learning based optimized feature importance via ensemble models

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

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GANIBOT: A Network Flow Based Semi Supervised Generative Adversarial Networks Model for IoT Botnets Detection

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Cyber Attack Detection in IoT using Deep Learning Techniques

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Machine Learning Approaches for Botnet Detection in Network Traffic

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Intrusion Detection in NSL-KDD Dataset Using Hybrid Self-Organizing Map Model

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Threat analysis model to control IoT network routing attacks through deep learning approach

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Dimensionality reduction with deep learning classification for botnet detection in the Internet of Things

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Joined Bi-model RNN with spatial attention and GAN based IoT botnet attacks detection

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IoT-POT: Machine Learning-based Detection of Mirai Botnet Attacks in IoT

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IoT botnet detection using deep learning

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DDOS Intrusion Detection with Machine Learning Models: N-BaIoT Data Set

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

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Cyber Security Intrusion Detection and Bot Data Collection using Deep Learning in the IoT

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A Dimensionality Reduction Approach for Machine Learning Based IoT Botnet Detection

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Machine Learning for Multi-Classification of Botnets Attacks

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Enhancing IoT Resilience: Machine Learning Techniques for Autonomous Anomaly Detection and Threat Mitigation

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Hybrid GNN–LSTM Architecture for Probabilistic IoT Botnet Detection with Calibrated Risk Assessment

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Identification Domain Fronting Traffic for Revealing Obfuscated C2 Communications

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HSDL-based intelligent threat detection framework for IoT network

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Anomaly Detection and Multi-Output Classification of IoT Attacks

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Detection and Prevention of Advanced Persistent Threat (APT) Activities in Heterogeneous Networks using SIEM and Deep Learning

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Dair-mlt: detection and avoidance of IoT routing attacks using machine learning techniques

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A Futuristic Survey on Learning Techniques for Internet of Things (IoT) Security : Developments, Applications, and ChallengesPreprint

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Investigation on Attack Detection in IoT Networks: A Study and Analysis of the Existing Machine Learning and Deep Learning Techniques

Saini, K. S., & Chaudhary, S. (2025) · International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) · doi:10.1109/idciot64235.2025.10914839 · Cited by 5 · see citing works

Enhanced Readiness Forensic Framework for the Complexity of Internet of Things (IoT) Investigation Based on Artificial Intelligence

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Hybrid Deep Learning for Botnet Attack Detection on IoT Networks using CNN-GRU

Hadipuspito, E. B., & Suryani, V. (2024) · International Conference on Data Science and Its Applications (ICoDSA) · doi:10.1109/icodsa62899.2024.10652152 · Cited by 4 · see citing works

An innovative intrusion detection framework using GAN-augmented Deep Ensemble Neural Network for cross-domain IoT–cloud security

Nazim, S., Hussain, S. S., Yousuf, B., Sultana, S., & Tanweer, E. (2025) · Internet of Things · doi:10.1016/j.iot.2025.101773 · Cited by 4 · see citing works

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

Govindaraji, M., Periyasamy, R., & Vidyaathulasiraman (2023) · International Journal of Safety and Security Engineering · doi:10.18280/ijsse.130414 · Cited by 4 · see citing works

Transfer learning-based Mirai botnet detection in IoT networks

Rabhi, S., Abbes, T., & Zarai, F. (2023) · 2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA) · doi:10.1109/inista59065.2023.10310379 · Cited by 4 · see citing works

Effective Internet of Things botnet classification by data upsampling using generative adversarial network and scale fused bidirectional long short term memory attention model

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Threat Intelligence System for Internet of Things based Smart Environments using Unsupervised Learning

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IoT Botnet Classification using CNN-based Deep Learning

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Evaluation of Advanced Information Security Scheme in Internet of Things Environment for Intelligent Monitoring Applications

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Unveiling Backdoor Attacks in Networking with Machine Learning Approaches

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Botnet Detection Through Flow-Based Deep Feature Extraction and Ensemble Classification

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Detection of DoS Attacks in MQTT Environment

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Challenges, Attacks, and Countermeasures for Security in MANETs-IoT

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Improving Spam Botnet Detection with Chi Square Feature Selection and Multiclass Machine Learning Classification

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Two-Stage Botnet Detection Method Based on Feature Selection for Industrial Internet of Things

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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 BotScan: Ultra-Lightweight AI Defense Against Botnet Threats

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Detection of IoT Botnet Attacks using Hybrid Deep Learning Models

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An RF-DNN-Based Approach for Detecting Cyber Attacks in IoT Network

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Combined Deep Learning Framework With Selective Features for Botnet Attack Detection in Internet of Things

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IoT Botnet Creation and Detection using Machine Learning

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A Large Scale IoT Botnet Attack Detection Using Ensemble Learning

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Review of Cyber-Physical System-Based Security Datasets for Learning-Based Intrusion Detection Systems

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Enhancing IoT Security Through Multilayer Unsupervised Learning and Hybrid Models

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An ensemble learning framework for enhanced anomaly and failure detection in IoT systems

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Man-in-the-Middle Attack Mitigation in IoT Sensors with Hash Based Multidimensional Lamport Digital Signature

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A method for the identification of denial of service (DoS) attack in network traffic using machine learning techniques

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Behavior Analysis of Machine Learning Algorithms for Botnets Detection

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Towards finding Hybrid Machine Learning Models for detection of IoT Botnets

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Deep Learning for Intrusion Detection in WoT

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Decision Tree-Based IoT Botnet Attack Detection

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DeepSVM-A Novel Approach for Early Detection and Classification of IoT Botnet Attacks

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Study of various AI based security model for threat analysis in communication and IoT network

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A Futuristic Survey on Learning Techniques for Internet of Things (IoT) Security : Developments, Applications, and ChallengesPreprint

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A comprehensive analysis of hybrid machine learning algorithms for securing IoT data

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Deep Variational Auto Encoders for Botnet Attack Detection in Industrial Internet of Things

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Detection of IOT botnet attack based on machine learning

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A Review of IoT Security Solutions Using Machine Learning and Deep Learning

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Feed-forward ANN with Random Forest Technique for Identifying Malicious Internet of Things Network Intrusion

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Deep Learning for Preventing Botnet Attacks on IoT

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Design and Comprehensive Review on Number of Different States of the Art Works Related to Botnet Attack Detection

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

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The Role of Recent Datasets in Network Threat Classification and Intrusion Detection Systems

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Performance Analysis of Ensemble Learning for Botnet Detection in IoT

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Recent Developments in Botnet Detection Tools and Techniques for IoT Security: A Review

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DCD-FL: A Decentralized Federated Learning Framework for Intrusion Detection in IoT

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

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Optimal Feature Extraction Model for Detecting Cyberattacks on IoT Devices

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HYBRIDNET-GUARD: An Advanced Deep Learning Framework for IoT Gateway Protocol Attack Detection with MTSS-FE and Wombel Optimization Algorithm (WBOA)

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

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

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Adversarial Sample Based on Structured Fusion Noise for Botnet Detection in Industrial Control Systems

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

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Attack Detection on Internet of Things Devices using Machine Learning Techniques

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Machine learning models for IoT botnet attack detection

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Detection of Various Botnet Attacks Using Machine Learning Techniques

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IoT Security in the Age of Botnets: Supervised Learning Strategies for Attack Detection

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Comparative Analysis of Deep Learning Models for IoT Botnet Detection: CNN, LSTM, RNN, and ACLR

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