Home ›
Entities
› academia
› Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions
Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions
Research article (Neural Computing and Applications, 2019) · cited 105× · AI/ML
Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions
Summary
Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions is a scholarly article[1].
Key Facts
Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions. Retrieved May 24, 2026, from https://4ort.xyz/entity/review-of-intrusion-detection-systems-based-on-deep-learning-techniques-coherent-taxonomy-challenges-motivations-recomme
MLA“Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/review-of-intrusion-detection-systems-based-on-deep-learning-techniques-coherent-taxonomy-challenges-motivations-recomme.
BibTeX@misc{4ortxyz_review-of-intrusion-detection-systems-based-on-deep-learning-techniques-coherent-taxonomy-challenges-motivations-recomme_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions}}, year = {2026}, url = {https://4ort.xyz/entity/review-of-intrusion-detection-systems-based-on-deep-learning-techniques-coherent-taxonomy-challenges-motivations-recomme}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions — https://4ort.xyz/entity/review-of-intrusion-detection-systems-based-on-deep-learning-techniques-coherent-taxonomy-challenges-motivations-recomme (retrieved 2026-05-24)