Home › Entities › academia › Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers

Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers

Research article (IEEE Access, 2024) · cited 61× · AI/ML
academia openalex:W4398787743
Press Enter · cited answer in seconds

Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers

Summary

Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers is a scholarly article[1].

Key Facts

  • Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers'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.

📑 Cite this page

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). Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers. Retrieved May 24, 2026, from https://4ort.xyz/entity/securing-the-iot-cyber-environment-enhancing-intrusion-anomaly-detection-with-vision-transformers
MLA “Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/securing-the-iot-cyber-environment-enhancing-intrusion-anomaly-detection-with-vision-transformers.
BibTeX @misc{4ortxyz_securing-the-iot-cyber-environment-enhancing-intrusion-anomaly-detection-with-vision-transformers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers}}, year = {2026}, url = {https://4ort.xyz/entity/securing-the-iot-cyber-environment-enhancing-intrusion-anomaly-detection-with-vision-transformers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers — https://4ort.xyz/entity/securing-the-iot-cyber-environment-enhancing-intrusion-anomaly-detection-with-vision-transformers (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/securing-the-iot-cyber-environment-enhancing-intrusion-anomaly-detection-with-vision-transformers · Last refreshed: