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Residual Size is Not Enough for Anomaly Detection: Improving Detection Performance using Residual Similarity in Multivariate Time Series
SAC 2022 - Virtual Event
Jeong-Han Yun
,
Jonguk Kim
,
Won-Seok Hwang
,
Young Geun Kim
,
Simon S. Woo
,
Byung-Gil Min
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DOI
Data - SWaT
SWaT - seq2seq
Data - WADI
Data - HAI
Revitalizing Self-Organizing Map: Anomaly Detection using Forecasting Error Patterns
IFIP SEC 2021 - Oslo, Norway
Young Geun Kim
,
Jeong-Han Yun
,
Siho Han
,
Hyoung Chun Kim
,
Simon S. Woo
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DOI
Data - SWaT
Data - HAI
Revitalizing Self-Organizing Map: Anomaly Detection using Forecasting Error Patterns
IFIP SEC 2021
Jun 22, 2021 9:30 AM — Jun 24, 2021 4:30 PM
Online via Hopin Platform
Young Geun Kim
,
Jeong-Han Yun
,
Siho Han
,
Hyoung Chun Kim
,
Simon S. Woo
Project
Slides
DOI
Publication
Anomaly detection in Cyber-Physical Systems
Anomaly detection based on the deep neural network error.
Simon S. Woo
,
Yujin Shin
,
Sangyup Lee
,
Shahroz Tariq
,
Young Geun Kim
,
Jinwoo Cho
,
Seoyoung Park
,
Youngrok Choi
Last updated on Oct 2, 2023
project
Data - SWaT
Data - HAI
R
Python
Team
Contextual Anomaly Detection by Correlated Probability Distributions using Kullback-Leibler Divergence
5th Workshop on Mining and Learning from Time Series, held in conjunction with KDD'19 Aug 5, 2019 - Anchorage, Alaska, USA
Jinwoo Cho
,
Shahroz Tariq
,
Sangyup Lee
,
Young Geun Kim
,
Jeong-Han Yun
,
Jonguk Kim
,
Hyoung Chun Kim
,
Simon S. Woo
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