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Online Transition-Based Feature Generation for Anomaly Detection in Concurrent Data Streams

Online Transition-Based Feature Generation for Anomaly Detection in Concurrent Data Streams

Yinzhen Zhong
A. Lisitsa
ArXiv (abs)PDFHTML

Papers citing "Online Transition-Based Feature Generation for Anomaly Detection in Concurrent Data Streams"

5 / 5 papers shown
Title
Can process mining help in anomaly-based intrusion detection?
Can process mining help in anomaly-based intrusion detection?
Yinzhen Zhong
A. Lisitsa
AI4TS
26
1
0
21 Jun 2022
Process Mining Algorithm for Online Intrusion Detection System
Process Mining Algorithm for Online Intrusion Detection System
Yinzhen Zhong
John Y. Goulermas
A. Lisitsa
24
3
0
24 May 2022
Anomaly-based Intrusion Detection in Industrial Data with SVM and Random Forests
Anomaly-based Intrusion Detection in Industrial Data with SVM and Random Forests
S. D. Antón
Sapna Sinha
Hans D. Schotten
126
82
0
24 Jul 2019
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
Yisroel Mirsky
Tomer Doitshman
Yuval Elovici
A. Shabtai
81
814
0
25 Feb 2018
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
Abien Fred Agarap
57
217
0
10 Sep 2017

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