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Detection of Algorithmically Generated Domain Names in Botnets
2019Botnets pose a major threat to the information security of organizations and individuals. The bots (malware infected hosts) receive commands and updates from the Command and Control (C&C) servers, and hence, contacting and communicating with these servers is an essential requirement of bots.
Deepak Kumar Vishvakarma +2 more
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Algorithmically Generated Domain Detection and Malware Family Classification
2019In this paper, we compare the performance of several machine learning based approaches for the tasks of detecting algorithmically generated malicious domains and the categorization of domains according to their malware family. The datasets used for model comparison were provided by the shared task on Detecting Malicious Domain names (DMD 2018).
Choudhary, C. +5 more
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A high-performance domain generation algorithm domain detection model
Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 2022Qizhi Zhang +4 more
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Machine learning-based algorithmically generated domain detection
Computers and Electrical Engineering, 2022Zheng Wang, Yang Guo, Doug Montgomery
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Noisy intermediate-scale quantum algorithms
Reviews of Modern Physics, 2022Kishor Bharti +2 more
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Cdga: A GAN-based Controllable Domain Generation Algorithm
2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2022You Zhai +5 more
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Detecting Algorithmically Generated Malicious Domains
2018Demertzis, Konstantinos, Liadis, Lazaros
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Quantum Information and Algorithms for Correlated Quantum Matter
Chemical Reviews, 2021Kade Head-Marsden +2 more
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Discovering faster matrix multiplication algorithms with reinforcement learning
Nature, 2022Alhussein Fawzi +2 more
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