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Detecting Botnets by Analyzing DNS Traffic
2007Botnet is a new trend in Internet attacks. Because the propagation of botnets will not cause large traffic like worm, it is often difficult to detect it. Till now, the most common method to detect botnets is to use honeynets. Although previous work has described an active detection technique using DNS hijacking technique[1], there are little ...
Hao Tu, Zhitang Li, Bin Liu 0013
openaire +1 more source
International Scientific Journal of Engineering and Management
In the dynamic landscape of cybersecurity, the persistent proliferation of botnets remains a formidable challenge. Conventional detection methods often grapple with elevated false positive rates and struggle to keep pace with the evolving tactics employed by malicious actors. This study delves into the domain of botnet detection, with a primary
openaire +1 more source
In the dynamic landscape of cybersecurity, the persistent proliferation of botnets remains a formidable challenge. Conventional detection methods often grapple with elevated false positive rates and struggle to keep pace with the evolving tactics employed by malicious actors. This study delves into the domain of botnet detection, with a primary
openaire +1 more source
XG-BoT: An explainable deep graph neural network for botnet detection and forensics
Internet of Things (Netherlands), 2023Wai Weng Lo +2 more
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Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices
IEEE Internet of Things Journal, 2022Segun I Popoola +2 more
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DNS rule-based schema to botnet detection
Enterprise Information Systems, 2021Kamal Alieyan +2 more
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Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research
Applied Sciences (Switzerland), 2021Majda Wazzan +2 more
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A fully scalable big data framework for Botnet detection based on network traffic analysis
Information Sciences, 2020Mohammad Khansari
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Botnet Detection Based On Machine Learning Techniques Using DNS Query Data
Future Internet, 2018Xuan Dau Hoang
exaly

