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- W2783412901 abstract "This paper proposes a method to detect two primary means of using the Domain Name System (DNS) for malicious purposes. We develop machine learning models to detect information exfiltration from compromised machines and the establishment of command & control (C&C) servers via tunneling. We validate our approach by experiments where we successfully detect a malware used in several recent Advanced Persistent Threat (APT) attacks [1]. The novelty of our method is its robustness, simplicity, scalability, and ease of deployment in a production environment." @default.
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- W2783412901 date "2017-12-01" @default.
- W2783412901 modified "2023-10-02" @default.
- W2783412901 title "Detection of Exfiltration and Tunneling over DNS" @default.
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- W2783412901 doi "https://doi.org/10.1109/icmla.2017.00-71" @default.
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