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Detecting DGA-based botnets through effective phonics-based features

Research article (Future Generation Computer Systems, 2023) · cited 13× · AI/ML
academia openalex:W4319017928
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Detecting DGA-based botnets through effective phonics-based features

Summary

Detecting DGA-based botnets through effective phonics-based features is a scholarly article[1].

Key Facts

  • Detecting DGA-based botnets through effective phonics-based features's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Detecting DGA-based botnets through effective phonics-based features. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-dga-based-botnets-through-effective-phonics-based-features
MLA “Detecting DGA-based botnets through effective phonics-based features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-dga-based-botnets-through-effective-phonics-based-features.
BibTeX @misc{4ortxyz_detecting-dga-based-botnets-through-effective-phonics-based-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting DGA-based botnets through effective phonics-based features}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-dga-based-botnets-through-effective-phonics-based-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting DGA-based botnets through effective phonics-based features — https://4ort.xyz/entity/detecting-dga-based-botnets-through-effective-phonics-based-features (retrieved 2026-05-24)

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