Identifying infected users via network traffic

Research article (Computers & Security, 2018) · cited 11× · AI/ML
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Identifying infected users via network traffic

Summary

Identifying infected users via network traffic is a scholarly article[1].

Key Facts

  • Identifying infected users via network traffic's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] . wikidata.org.

Class ancestry

  1. [1] . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Identifying infected users via network traffic. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-infected-users-via-network-traffic
MLA “Identifying infected users via network traffic.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-infected-users-via-network-traffic.
BibTeX @misc{4ortxyz_identifying-infected-users-via-network-traffic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying infected users via network traffic}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-infected-users-via-network-traffic}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying infected users via network traffic — https://4ort.xyz/entity/identifying-infected-users-via-network-traffic (retrieved 2026-05-24)

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