Home ›
Entities
› academia
› Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set
Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set
Research article (EURASIP Journal on Wireless Communications and Networking, 2021) · cited 136× · AI/ML
Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set
Summary
Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set is a scholarly article[1].
Key Facts
Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set'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). Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set. Retrieved May 24, 2026, from https://4ort.xyz/entity/intrusion-detection-in-internet-of-things-using-supervised-machine-learning-based-on-application-and-transport-layer-fea
MLA“Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/intrusion-detection-in-internet-of-things-using-supervised-machine-learning-based-on-application-and-transport-layer-fea.
BibTeX@misc{4ortxyz_intrusion-detection-in-internet-of-things-using-supervised-machine-learning-based-on-application-and-transport-layer-fea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set}}, year = {2026}, url = {https://4ort.xyz/entity/intrusion-detection-in-internet-of-things-using-supervised-machine-learning-based-on-application-and-transport-layer-fea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set — https://4ort.xyz/entity/intrusion-detection-in-internet-of-things-using-supervised-machine-learning-based-on-application-and-transport-layer-fea (retrieved 2026-05-24)