One Model to Find Them All Deep Learning for Multivariate Time-Series Anomaly Detection in Mobile Network Data
Author:
Affiliation:
1. IIE–FING, Universidad de la República, Montevideo, Uruguay
2. Telefónica Uruguay and IIE–FING, Montevideo, Uruguay
3. AIT Austrian Institute of Technology, Vienna, Austria
Funder
?sterreichische Forschungsf?rderungsgesellschaft
Agencia Nacional de Investigaci?n e Innovaci?n
Comisi?n Sectorial de Investigaci?n Cient?fica
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/4275028/5699970/10345720.pdf?arnumber=10345720
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Generative AI in Network Security and Intrusion Detection;Advances in Information Security, Privacy, and Ethics;2024-07-26
2. On the Quest for Foundation Generative-AI Models for Anomaly Detection in Time-Series Data;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08
3. Future of generative adversarial networks (GAN) for anomaly detection in network security: A review;Computers & Security;2024-04
4. Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers;IEEE Access;2024
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