Domain generation algorithms detection with feature extraction and Domain Center construction. [PDF]
PLoS ONE, 2023 Network attacks using Command and Control (C&C) servers have increased significantly. To hide their C&C servers, attackers often use Domain Generation Algorithms (DGA), which automatically generate domain names for C&C servers.
Xinjie Sun, Zhifang Liu
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Weakly Supervised Deep Learning for the Detection of Domain Generation Algorithms [PDF]
IEEE Access, 2019 Domain generation algorithms (DGAs) have become commonplace in malware that seeks to establish command and control communication between an infected machine and the botmaster.
Bin Yu +6 more
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CharBot: A Simple and Effective Method for Evading DGA Classifiers
IEEE Access, 2019 Domain generation algorithms (DGAs) are commonly leveraged by malware to create lists of domain names, which can be used for command and control (C&C) purposes. Approaches based on machine learning have recently been developed to automatically detect
Jonathan Peck +7 more
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Survey of DGA Domain Name Detection Based on Character Feature [PDF]
Jisuanji kexue, 2023 Recent years have seen extensive adoption of domain generation algorithms(DGA) by botnets.Efficient detection of DGA domain name is of great significance for discovering botnets and ensuring cyber security.DGA domain name detection me-thod based on ...
WANG Yu, WANG Zuchao, PAN Rui
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Toward Optimal LSTM Neural Networks for Detecting Algorithmically Generated Domain Names
IEEE Access, 2021 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)
Jose Selvi +2 more
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Failure Modes of Domain Generalization Algorithms
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Domain generalization algorithms use training data from multiple domains to learn models that generalize well to unseen domains. While recently proposed benchmarks demonstrate that most of the existing algorithms do not outperform simple baselines, the established evaluation methods fail to expose the impact of various factors that contribute to the ...
Galstyan, Tigran +4 more
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N-Trans: Parallel Detection Algorithm for DGA Domain Names
Future Internet, 2022 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.
Cheng Yang +4 more
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Adaptation of the simulated evolution algorithm for wind farm layout optimization [PDF]
FME Transactions, 2022 Wind energy is a potential replacement for traditional, fossil-fuel-based power generation sources. One important factor in the process of wind energy generation is to design of the optimal layout of a wind farm to harness maximum energy.
Khan Salman A.
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Detecting Stealthy Domain Generation Algorithms Using Heterogeneous Deep Neural Network Framework
IEEE Access, 2020 Distinguishing malicious domain names generated by various domain generation algorithms (DGA) is critical for defending a network against sophisticated network attacks.
Luhui Yang +4 more
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Flow-Based Programming for Machine Learning
Future Internet, 2022 Machine Learning (ML) has gained prominence and has tremendous applications in fields like medicine, biology, geography and astrophysics, to name a few.
Tanmaya Mahapatra, Syeeda Nilofer Banoo
doaj +1 more source