IoT Botnet detection based on the integration of static and dynamic vector features

2020 IEEE Eighth International Conference on Communications and Electronics (ICCE) ◽

10.1109/icce48956.2021.9352145 ◽

2021 ◽

Author(s):

Quoc-Dung Ngo ◽

Huy-Trung Nguyen ◽

Hoang-Anh Tran ◽

Doan-Hieu Nguyen

Keyword(s):

Botnet Detection

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Botnet Detection with Machine Learning Classifiers

Journal of Research on the Lepidoptera ◽

10.36872/lepi/v51i2/301100 ◽

2020 ◽

Vol 51 (2) ◽

pp. 329-335

Author(s):

POKURI ASHOK KUMAR

Keyword(s):

Machine Learning ◽

Botnet Detection ◽

Machine Learning Classifiers ◽

Learning Classifiers

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Online Botnet Detection Algorithm Using MapReduce

JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY ◽

10.3724/sp.j.1146.2012.01444 ◽

2014 ◽

Vol 35 (7) ◽

pp. 1732-1738 ◽

Author(s):

Hong-ling Jiang ◽

Xiu-li Shao ◽

Yao-fang Li

Keyword(s):

Detection Algorithm ◽

Botnet Detection

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Android botnet detection using machine learning models based on a comprehensive static analysis approach

Journal of Information Security and Applications ◽

10.1016/j.jisa.2020.102735 ◽

2021 ◽

Vol 58 ◽

pp. 102735

Author(s):

Wadi’ Hijawi ◽

Ja’far Alqatawna ◽

Ala’ M. Al-Zoubi ◽

Mohammad A. Hassonah ◽

Hossam Faris

Keyword(s):

Machine Learning ◽

Static Analysis ◽

Analysis Approach ◽

Learning Models ◽

Botnet Detection ◽

Machine Learning Models

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Development of an Optimized Botnet Detection Framework based on Filters of Features and Machine Learning Classifiers using CICIDS2017 Dataset

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/928/3/032027 ◽

2020 ◽

Vol 928 ◽

pp. 032027

Author(s):

Aaya F. Jabbar ◽

Imad J. Mohammed

Keyword(s):

Machine Learning ◽

Botnet Detection ◽

Machine Learning Classifiers ◽

Learning Classifiers

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Robust Early Stage Botnet Detection using Machine Learning

2020 International Conference on Cyber Warfare and Security (ICCWS) ◽

10.1109/iccws48432.2020.9292395 ◽

2020 ◽

Author(s):

Ali Muhammad ◽

Muhammad Asad ◽

Abdul Rehman Javed

Keyword(s):

Machine Learning ◽

Early Stage ◽

Botnet Detection

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Performance Evaluation of Botnet Detection using Deep Learning Techniques

2020 11th International Conference on Network of the Future (NoF) ◽

10.1109/nof50125.2020.9249198 ◽

2020 ◽

Author(s):

Beny Nugraha ◽

Anshitha Nambiar ◽

Thomas Bauschert

Keyword(s):

Performance Evaluation ◽

Deep Learning ◽

Botnet Detection ◽

Learning Techniques

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Early Botnet Detection for the Internet and the Internet of Things by Autonomous Machine Learning

2020 16th International Conference on Mobility, Sensing and Networking (MSN) ◽

10.1109/msn50589.2020.00087 ◽

2020 ◽

Author(s):

Anderson Bergamini de Neira ◽

Alex Medeiros Araujo ◽

Michele Nogueira

Keyword(s):

Machine Learning ◽

Internet Of Things ◽

The Internet ◽

Botnet Detection ◽

Autonomous Machine ◽

The Internet Of Things

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A Method Aware of Concept Drift for Online Botnet Detection

GLOBECOM 2020 - 2020 IEEE Global Communications Conference ◽

10.1109/globecom42002.2020.9347990 ◽

2020 ◽

Author(s):

Bruno Henrique Schwengber ◽

Andressa Vergutz ◽

Nelson G. Prates ◽

Michele Nogueira

Keyword(s):

Concept Drift ◽

Botnet Detection

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Botnet and botnet detection techniques in cyber realm

2016 International Conference on Inventive Computation Technologies (ICICT) ◽

10.1109/inventive.2016.7830080 ◽

2016 ◽

Author(s):

Navdeep Kaur ◽

Maninder Singh

Keyword(s):

Botnet Detection ◽

Detection Techniques

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Role of handshaking packets in improving peer to peer BotNet detection

2015 International Conference on Computing and Network Communications (CoCoNet) ◽

10.1109/coconet.2015.7411249 ◽

2015 ◽

Author(s):

Ritu ◽

Rishabh Kaushal

Keyword(s):

Peer To Peer ◽

Botnet Detection

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