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A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks

IEEE access, 2021, Vol.9, p.163412-163430

2021

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A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities

IEEE transactions on industry applications, 2020-07, Vol.56 (4), p.4436-4456

2020

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A Survey on Botnets, Issues, Threats, Methods, Detection and Prevention

Journal of cybersecurity and privacy, 2022-03, Vol.2 (1), p.74-88

2022

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Botnets: Architectures, Countermeasures, and Challenges

1st edition., 2019

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N-BaIoT-Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders

IEEE pervasive computing, 2018-07, Vol.17 (3), p.12-22

2018

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Simultaneous Botnet Dataset Generator: A simulation tool for generating a botnet dataset with simultaneous attack characteristic

Software impacts, 2022-12, Vol.14, p.100441, Article 100441

2022

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Issues and challenges in DNS based botnet detection: A survey

Computers & security, 2019-09, Vol.86, p.28-52

2019

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Botnet Detection Based On Machine Learning Techniques Using DNS Query Data

Future internet, 2018-05, Vol.10 (5), p.43

2018

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Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices

IEEE internet of things journal, 2022-03, Vol.9 (5), p.3930-3944

2022

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An improved model for detecting DGA botnets using random forest algorithm

Information security journal., 2022-07, Vol.31 (4), p.441-450

2022

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MalBoT-DRL: Malware Botnet Detection Using Deep Reinforcement Learning in IoT Networks

IEEE internet of things journal, 2024-03, Vol.11 (6), p.1-1

2024

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Botnets: A survey

Computer networks (Amsterdam, Netherlands : 1999), 2013-02, Vol.57 (2), p.378-403

2013

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An Internet of Things Botnet Detection Model Using Regression Analysis and Linear Discrimination Analysis

Iraqi journal of science, 2022-10, p.4534-4546

2022

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Mobile botnet detection: a comprehensive survey

International journal of information security, 2023-02, Vol.22 (1), p.137-175

2023

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Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks

IEEE internet of things journal, 2021-03, Vol.8 (6), p.4944-4956

2021

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UTL_DGA22 - a dataset for DGA botnet detection and classification

Computer networks (Amsterdam, Netherlands : 1999), 2023-02, Vol.221, p.109508, Article 109508

2023

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A New Approach of Botnet Activity Detection Models Using Combination of Univariate and ANOVA Feature Selection Techniques

International Journal of Intelligent Engineering and Systems, 2024-06, Vol.17 (3), p.485-502

2024

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Detecting botnet by using particle swarm optimization algorithm based on voting system

Future generation computer systems, 2020-06, Vol.107, p.95-111

2020

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BotMark: Automated botnet detection with hybrid analysis of flow-based and graph-based traffic behaviors

Information sciences, 2020-02, Vol.511, p.284-296

2020

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IoT botnet detection via power consumption modeling

Smart health (Amsterdam), 2020-03, Vol.15, p.100103, Article 100103

2020

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An empirical comparison of botnet detection methods

Computers & security, 2014-09, Vol.45, p.100-123

2014

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Botnet Defense System: Observability, Controllability, and Basic Command and Control Strategy

Sensors (Basel, Switzerland), 2022-12, Vol.22 (23), p.9423

Yamaguchi, Shingo

2022

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Botnet in DDoS Attacks: Trends and Challenges

IEEE Communications surveys and tutorials, 2015-01, Vol.17 (4), p.2242-2270

2015

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Botnet Communication Patterns

IEEE Communications surveys and tutorials, 2017-01, Vol.19 (4), p.2768-2796

2017

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An intelligent multi-layer framework with SHAP integration for botnet detection and classification

Computers & security, 2024-05, Vol.140, p.103783, Article 103783

2024

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A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks

A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities

A Survey on Botnets, Issues, Threats, Methods, Detection and Prevention

Botnets: Architectures, Countermeasures, and Challenges

N-BaIoT-Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders

Simultaneous Botnet Dataset Generator: A simulation tool for generating a botnet dataset with simultaneous attack characteristic

Issues and challenges in DNS based botnet detection: A survey

Botnet Detection Based On Machine Learning Techniques Using DNS Query Data

Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices

An improved model for detecting DGA botnets using random forest algorithm

MalBoT-DRL: Malware Botnet Detection Using Deep Reinforcement Learning in IoT Networks

Botnets: A survey

An Internet of Things Botnet Detection Model Using Regression Analysis and Linear Discrimination Analysis

Mobile botnet detection: a comprehensive survey

Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks

UTL_DGA22 - a dataset for DGA botnet detection and classification

A New Approach of Botnet Activity Detection Models Using Combination of Univariate and ANOVA Feature Selection Techniques

Detecting botnet by using particle swarm optimization algorithm based on voting system

BotMark: Automated botnet detection with hybrid analysis of flow-based and graph-based traffic behaviors

IoT botnet detection via power consumption modeling

An empirical comparison of botnet detection methods

Botnet Defense System: Observability, Controllability, and Basic Command and Control Strategy

Botnet in DDoS Attacks: Trends and Challenges

Botnet Communication Patterns

An intelligent multi-layer framework with SHAP integration for botnet detection and classification

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