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MDBA: Detecting Malware based on Bytes N-Gram with Association Mining

Research article (2019 26th International Conference on Telecommunications (ICT), 2019) · cited 10× · AI/ML
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MDBA: Detecting Malware based on Bytes N-Gram with Association Mining

Summary

MDBA: Detecting Malware based on Bytes N-Gram with Association Mining is a scholarly article[1].

Key Facts

  • MDBA: Detecting Malware based on Bytes N-Gram with Association Mining'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). MDBA: Detecting Malware based on Bytes N-Gram with Association Mining. Retrieved May 24, 2026, from https://4ort.xyz/entity/mdba-detecting-malware-based-on-bytes-n-gram-with-association-mining
MLA “MDBA: Detecting Malware based on Bytes N-Gram with Association Mining.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mdba-detecting-malware-based-on-bytes-n-gram-with-association-mining.
BibTeX @misc{4ortxyz_mdba-detecting-malware-based-on-bytes-n-gram-with-association-mining_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MDBA: Detecting Malware based on Bytes N-Gram with Association Mining}}, year = {2026}, url = {https://4ort.xyz/entity/mdba-detecting-malware-based-on-bytes-n-gram-with-association-mining}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MDBA: Detecting Malware based on Bytes N-Gram with Association Mining — https://4ort.xyz/entity/mdba-detecting-malware-based-on-bytes-n-gram-with-association-mining (retrieved 2026-05-24)

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