Toward Optimal LSTM Neural Networks for Detecting Algorithmically Generated Domain Names

Malware detection is a problem that has become particularly challenging over the last decade. A common strategy for detecting malware is to scan network traffic for malicious connections between infected devices and their command and control (C&C) servers. However, malware developers are...

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Bibliographic Details
Published in:	IEEE Access
Main Authors:	Jose Selvi, Ricardo J. Rodriguez, Emilio Soria-Olivas
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Subjects:	Deep learning LSTM malware domain generation algorithms
Online Access:	https://ieeexplore.ieee.org/document/9531932/

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