%0 Journal Article %1 yu2022unusual %A Yu, Jongmin %A Oh, Hyeontaek %A Kim, Minkyung %A Jung, Sehun %D 2022 %J IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS %K anomaly_detection autoencoder erp fraud %T Unusual Insider Behavior Detection Framework on Enterprise Resource Planning Systems Using Adversarial Recurrent Autoencoder %V 18

@article{yu2022unusual, added-at = {2022-05-04T11:31:14.000+0200}, author = {Yu, Jongmin and Oh, Hyeontaek and Kim, Minkyung and Jung, Sehun}, biburl = {https://www.bibsonomy.org/bibtex/2331b70d802244d2f1c8695385c8eb45a/tritsch}, interhash = {bdb90b15a81a5bec6b838242f81eba03}, intrahash = {331b70d802244d2f1c8695385c8eb45a}, journal = {IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS}, keywords = {anomaly_detection autoencoder erp fraud}, timestamp = {2022-05-04T13:38:59.000+0200}, title = {Unusual Insider Behavior Detection Framework on Enterprise Resource Planning Systems Using Adversarial Recurrent Autoencoder}, volume = 18, year = 2022 }