Home ›
Entities
› academia
› FLDDoS: DDoS Attack Detection Model based on Federated Learning
FLDDoS: DDoS Attack Detection Model based on Federated Learning
Research article (2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021) · cited 26× · AI/ML
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). FLDDoS: DDoS Attack Detection Model based on Federated Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/flddos-ddos-attack-detection-model-based-on-federated-learning
MLA“FLDDoS: DDoS Attack Detection Model based on Federated Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/flddos-ddos-attack-detection-model-based-on-federated-learning.
BibTeX@misc{4ortxyz_flddos-ddos-attack-detection-model-based-on-federated-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FLDDoS: DDoS Attack Detection Model based on Federated Learning}}, year = {2026}, url = {https://4ort.xyz/entity/flddos-ddos-attack-detection-model-based-on-federated-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FLDDoS: DDoS Attack Detection Model based on Federated Learning — https://4ort.xyz/entity/flddos-ddos-attack-detection-model-based-on-federated-learning (retrieved 2026-05-24)