Recomposition vs. Prediction: A Novel Anomaly Detection for Discrete Events Based On Autoencoder

One of the most challenging problems in the field of intrusion detection is anomaly detection for discrete event logs. While most earlier work focused on applying unsupervised learning upon engineered features, most recent work has started to resolve this challenge by applying deep learning methodol...

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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Lun-Pin Yuan, Liu, Peng, Zhu, Sencun
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 27.12.2020
Subjects:	Anomalies Methodology Natural language processing
ISSN:	2331-8422
Online Access:	Get full text
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