Home › Entities › academia › Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification

Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification

Research article (2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2023) · cited 10× · AI/ML
academia openalex:W4393406862
Press Enter · cited answer in seconds

Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification

Summary

Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification is a scholarly article[1].

Key Facts

  • Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification'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). Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-security-in-5g-networks-a-hybrid-machine-learning-approach-for-attack-classification
MLA “Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-security-in-5g-networks-a-hybrid-machine-learning-approach-for-attack-classification.
BibTeX @misc{4ortxyz_enhancing-security-in-5g-networks-a-hybrid-machine-learning-approach-for-attack-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-security-in-5g-networks-a-hybrid-machine-learning-approach-for-attack-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification — https://4ort.xyz/entity/enhancing-security-in-5g-networks-a-hybrid-machine-learning-approach-for-attack-classification (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/enhancing-security-in-5g-networks-a-hybrid-machine-learning-approach-for-attack-classification · Last refreshed: