Articles with "malicious domain" as a keyword



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Malicious Domain Name Detection Based on Extreme Machine Learning

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Published in 2017 at "Neural Processing Letters"

DOI: 10.1007/s11063-017-9666-7

Abstract: Malicious domain detection is one of the most effective approaches applied in detecting Advanced Persistent Threat (APT), the most sophisticated and stealthy threat to modern network. Domain name analysis provides security experts with insights to… read more here.

Keywords: detection; machine learning; malicious domain; domain name ... See more keywords
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MADMAX: Browser-Based Malicious Domain Detection Through Extreme Learning Machine

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3080456

Abstract: Fast and accurate malicious domain detection is an essential research theme to prevent cybercrime, and machine learning is an attractive approach for detecting unseen malicious domains in the past decade. In this paper, we present… read more here.

Keywords: malicious domain; machine; domain detection; domain ... See more keywords
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A Malicious Domain Detection Model Based on Improved Deep Learning

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Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/9241670

Abstract: With the rapid development of the Internet, malicious domain names pose more and more serious threats to many fields, such as network security and social security, and there have been many research results on malicious… read more here.

Keywords: malicious domain; improved deep; domain; detection ... See more keywords
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N-Trans: Parallel Detection Algorithm for DGA Domain Names

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Published in 2022 at "Future Internet"

DOI: 10.3390/fi14070209

Abstract: Domain name generation algorithms are widely used in malware, such as botnet binaries, to generate large sequences of domain names of which some are registered by cybercriminals. Accurate detection of malicious domains can effectively defend… read more here.

Keywords: malicious domain; domain names; domain; detection ... See more keywords