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MSNM-Sensor: An Applied Network Monitoring Tool for Anomaly Detection in
  Complex Networks and Systems
v1v2v3 (latest)

MSNM-Sensor: An Applied Network Monitoring Tool for Anomaly Detection in Complex Networks and Systems

31 July 2019
Roberto Magán-Carrión
J. Camacho
Gabriel Maciá-Fernández
Á. Ruíz-Zafra
ArXiv (abs)PDFHTML

Papers citing "MSNM-Sensor: An Applied Network Monitoring Tool for Anomaly Detection in Complex Networks and Systems"

3 / 3 papers shown
EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly
  Detection in Multivariate Time Series
EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series
Jie Liu
Qilin Li
Senjian An
Bradley Ezard
Ling Li
AI4TS
198
7
0
04 Dec 2023
Improving the Reliability of Network Intrusion Detection Systems through
  Dataset Integration
Improving the Reliability of Network Intrusion Detection Systems through Dataset Integration
Roberto Magán-Carrión
Daniel Urda
Ignacio Díaz-Cano
B. Dorronsoro
221
7
0
02 Dec 2021
Intrusion Detection Systems for IoT: opportunities and challenges
  offered by Edge Computing and Machine Learning
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning
Pietro Spadaccino
F. Cuomo
377
25
0
02 Dec 2020
1
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