Search Results - "Botnets"

Botnet Detection: A System for Identifying DGA-based Botnets Using LightGBM.

Authors: Mohamad, Mumtazimah Hamid, Nazirah Abd Ghaleb, Sanaa et al.

Source: IAENG International Journal of Applied Mathematics. Jun2026, Vol. 56 Issue 6, p2291-2300. 10p.

Subjects: Botnets, Machine learning, Internet security, Boosting algorithms, Anomaly detection (Computer security)

Reinforcement Learning-Enhanced Botnet Defense System in Grid Topology Networks Using the SIRO Framework.

Authors: Bin Kamilin, Mohd Hafizuddin Yamaguchi, Shingo Yoshioka, Sena

Source: Sensors (14248220). Apr2026, Vol. 26 Issue 8, p2517. 31p.

Minimum Vertex Cut with Reachable Set (MVCRS) Problem for Suppressing Botnet Propagation in IoT Networks: Complexity and Algorithms.

Authors: Yamaguchi, Shingo¹ (AUTHOR)

Source: Sensors (14248220). Apr2026, Vol. 26 Issue 8, p2324. 21p.

Robust and Noise-Resilient Botnet Detection Framework Using Heterogeneous Radial Basis Function Neural Network.

Authors: Awad, Lama Al-Haj Baddar, Sherenaz Sleit, Azzam

Source: Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 7, p3379, 32p

Enhanced Botnet Detection Using a Modified Naïve Bayes Algorithm with Laplace Smoothing and FAMD-Based Feature Agglomeration.

Authors: Alshami, Ahmed L. Nema, Bashar M. Al-Hamami, Alaa H.

Source: Baghdad Science Journal; 2026, Vol. 23 Issue 3, p1057-1067, 11p

Towards Privacy-Preserving Deep Learning for Intelligent IoT Botnet Detection.

Authors: Rasool, Ariwan M. Safa, Nader Sohrabi Mbarushimana, Consolee

Source: Applied Sciences (2076-3417); Feb2026, Vol. 16 Issue 3, p1665, 68p

A Novel Architecture for Mitigating Botnet Threats in AI-Powered IoT Environments.

Authors: Memos, Vasileios A. Stergiou, Christos L. Bermperis, Alexandros I. et al.

Source: Sensors (14248220). Jan2026, Vol. 26 Issue 2, p572. 25p.

Botnet Node Detection Using Graph Learning.

Authors: Karyağdı, Gizem Özçelik, İlker

Source: Applied Sciences (2076-3417); Jan2026, Vol. 16 Issue 1, p24, 18p

Simulating Advanced Social Botnets: A Framework for Behavior Realism and Coordinated Stealth.

Authors: Jin, Rui Liao, Yong

Source: Information. Jan2026, Vol. 17 Issue 1, p27. 23p.

Mapping Cyber Bot Behaviors: Understanding Payload Patterns in Honeypot Traffic.

Authors: Wang, Shiyu Tu, Cheng Zhang, Yunyi et al.

Source: Sensors (14248220). Jan2026, Vol. 26 Issue 1, p11. 28p.

Advancing Machine Learning Strategies for Power Consumption-Based IoT Botnet Detection.

Authors: Wakili, Almustapha A. Guni, Saugat Khan, Sabbir Ahmed et al.

Source: Sensors (14248220). Dec2025, Vol. 25 Issue 24, p7553. 28p.

Enhanced Botnet Detection and Neutralization through Machine Learning: A Synergistic Analysis of Host Activity, Network Patterns with Explainable Insights.

Authors: Gomathy, B. Riyaayini, S. V. Krishnaprabha, K. R. et al.

Source: Computer Science Journal of Moldova. 2025, Vol. 33 Issue 3, p373-404. 32p.

BotCB: Unmasking Botnets Through Intelligent Network Traffic Analysis.

Authors: Sivanesh, S. Mani, G. Senthilkumar, D. et al.

Source: International Journal of Distributed Sensor Networks. 10/7/2025, Vol. 2025, p1-9. 9p.

Subjects: Botnets, Random forest algorithms, Classification algorithms, Computer network security, Machine learning, Computer network traffic

Comparative analysis of deep learning and traditional methods for IoT botnet detection using a multi-model framework across diverse datasets.

Authors: Ullah, Saeed Wu, Junsheng Lin, Zhijun et al.

Source: Scientific Reports. 8/23/2025, Vol. 15 Issue 1, p1-31. 31p.

BotMHG: a hybrid deep learning-based graphical approach to detect botnets using graph neural networks and graph attention networks on topological and temporal features.

Authors: Mohan, H. G. Kumar, Jalesh

Source: Neural Computing & Applications; Aug2025, Vol. 37 Issue 23, p19303-19337, 35p

Enhancing IoT Security: A Comparative Analysis of Machine Learning and Deep Learning Techniques for Botnet Detection.

Authors: Almousa, Omar Hamdallh, Batool Al-nu'man, Ruba

Source: Engineering, Technology & Applied Science Research; Aug2025, Vol. 15 Issue 4, p24498-24505, 8p

Mathematical model for advanced malware propagation in computer networks.

Authors: Almashhadani, Ahmad O. Ali, Samah Mohammed Ahmed, Riyadh Abdullah et al.

Source: AIP Conference Proceedings. 2026, Vol. 3408 Issue 1, p1-12. 12p.

Sparse Spectra Graph Convolution Neural for Detecting IoT-Botnet Cyber Attacks in Wireless Sensor Networks.

Authors: Deepa Priya, Balakrishnan Nair Sreedevi Thangavel, Thiruvenkadam Jothilakshmi, Rajendran et al.

Source: IETE Journal of Research. Jul2025, Vol. 71 Issue 7, p2344-2352. 9p.

Subjects: Botnets, Internet of things, Graph neural networks, Feature selection, Wireless sensor networks, Machine learning, Cyberterrorism

Zero-day Android botnet detection using neural networks.

Authors: Seraj, Saeed Pimenidis, Elias Trovati, Marcello et al.

Source: Neural Computing & Applications. Jun2025, Vol. 37 Issue 17, p10795-10805. 11p.

Subjects: Android (Operating system), Botnets, Artificial neural networks, Computer security vulnerabilities, Machine learning, Malware, Mobile communication system security

AdvBiTrans: an efficient botnet detection method based on adversarial BiLSTM-Transformer in IIoT.

Authors: Wang, Yong Yan, Zhenyang Zhang, Kai et al.

Source: Computer Journal. Apr2026, Vol. 69 Issue 4, p703-717. 15p.

Subjects: Botnets, Transformer models, Deep learning, Adversarial machine learning, Long short-term memory, Feature selection, Internet security, Cyber physical systems