Feb 20, 2021 · This study explores the risks of these approaches by showing a simple domain generation algorithm (DGA).
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Deep learning is considered to be a promising approach to classify the malicious host names. This study explores the risks of these approaches by showing a ...
Deep learning is considered to be a promising approach to classify the malicious host names. This study explores the risks of these approaches by showing a ...
Sep 13, 2024 · In this paper, we introduce DomURLs_BERT, a pre-trained BERT-based encoder adapted for detecting and classifying suspicious/malicious domains and URLs.
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Jun 15, 2019 · Instead of using static IP addresses or domain names, they algorithmically generate domain names that may host their C&C servers. Hence, ...
Aug 21, 2024 · This insight allows us to identify malicious domains based on DNS traffic patterns and characteristics.
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Building on such efforts, this work summarizes our work in the design and evaluation of a system that utilizes machine learning techniques over network metadata.
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This paper proposes a multi-source information comprehensive malicious domain name detection model based on convolutional neural network.
The automated ground truth generation method takes advantage of the type of mitigation actions undertaken by the relevant intermediaries involved in domain.