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Kijong Koo on Muck Rack

Kijong Koo

As seen in: MDPI
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Applied Sciences | Free Full-Text | Mutation-Based Multivariate Time-Series Anomaly Generation on Latent Space with an Attention-Based Variational Recurrent Neural Network for Robust Anomaly Detection in an Industrial Control System

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By Seungho Jeon, Jung Taek Seo, Kijong Koo, Daesung Moon
| MDPI
1. Introduction Anomaly detection is the task of predicting anomalous data that exhibit different patterns from normal data. It plays a crucial role in various fields such as finance [1], industrial control systems (ICS) [2], and cybersecurity [3]. There are two main approaches to classifying anomalies from normal data: one-class classification and binary classification.
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