Leveraging Network Traffic Byte-Streams for Machine Learning Based Early Botnet Attack Detection
Botnet attacks can overwhelm networks and severely affect the availability of services. Anomaly based detection techniques using machine learning are effective against zero-day attacks. However, they require complex data preprocessing and feature extraction which can affect the early detection of bo...
محفوظ في:
| المؤلف الرئيسي: | Rajesh Thomas (author) |
|---|---|
| مؤلفون آخرون: | Suleiman Yerima (author), Khaled Shaalan (author) |
| منشور في: |
2025
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| الوصول للمادة أونلاين: | https://bspace.buid.ac.ae/handle/1234/3146 |
| الوسوم: |
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مواد مشابهة
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Botnet detection
حسب: Al Ebri, Noura
منشور في: (2017) -
A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks
حسب: THOMAS, RAJESH
منشور في: (2025) -
Host-Based Botnet Mitigation Methodology
حسب: unknown
منشور في: (2020) -
FPGA-Based Network Traffic Classification Using Machine Learning
حسب: Elnawawy, Mohammed
منشور في: (2019) -
FPGA-Based Network Traffic Classification Using Machine Learning
حسب: Elnawawy, Mohammed
منشور في: (2020)