{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T00:10:53Z","timestamp":1771373453427,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3326815","type":"journal-article","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T18:17:14Z","timestamp":1698085034000},"page":"118048-118060","source":"Crossref","is-referenced-by-count":2,"title":["TransKS: An Anomaly Detection Method for Telecommunication Networks Based on Deep Learning"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1172-6160","authenticated-orcid":false,"given":"Jiahuan","family":"Zheng","sequence":"first","affiliation":[{"name":"China Telecom Research Institute, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3806-8778","authenticated-orcid":false,"given":"Dongdong","family":"Feng","sequence":"additional","affiliation":[{"name":"China Telecom Research Institute, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4412-9984","authenticated-orcid":false,"given":"Zhiming","family":"Yang","sequence":"additional","affiliation":[{"name":"China Telecom Research Institute, Guangzhou, China"}]},{"given":"Yong","family":"Xiang","sequence":"additional","affiliation":[{"name":"China Telecom Research Institute, Guangzhou, China"}]},{"given":"Haiping","family":"Zhang","sequence":"additional","affiliation":[{"name":"China Telecom Research Institute, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0885-1554","authenticated-orcid":false,"given":"Siyao","family":"Li","sequence":"additional","affiliation":[{"name":"China Telecom Research Institute, Guangzhou, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.110791"},{"key":"ref35","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"arXiv 1810 04805"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/424"},{"key":"ref34","first-page":"1","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc 31st Conf Neural Inf Process Syst (NIPS)"},{"key":"ref15","article-title":"Anomaly transformer: Time series anomaly detection with association discrepancy","author":"xu","year":"2021","journal-title":"arXiv 2110 02642"},{"key":"ref37","article-title":"Rethinking positional encoding in language pre-training","author":"ke","year":"2020","journal-title":"arXiv 2006 15595"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3100509"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2074"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737430"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN49398.2020.9209704"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.14778\/3514061.3514067"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/OCIT53463.2021.00085"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1111\/mice.13003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00228"},{"key":"ref2","first-page":"68","article-title":"Intelligent operation and maintenance based on machine learning","volume":"13","author":"dan","year":"2017","journal-title":"Commun China Comput Fed"},{"key":"ref1","author":"yi","year":"2021","journal-title":"Core Network and Network Technology KPI Anomaly Detection Method for VoLTE Core Network Based on Machine Learning"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2007.03.025"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE52982.2021.00023"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/PCCC.2018.8711315"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2886457"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2500853.2500857"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3185996"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/s19112451"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.32604\/jcs.2020.011169"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CyberC.2013.22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3182\/20130902-3-CN-3020.00044"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/2187247"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/PCCC.2018.8710885"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2019.2962701"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.4018\/IJAIML.20210701.oa6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/HYDCON48903.2020.9242676"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICIN48450.2020.9059436"},{"key":"ref4","first-page":"133","article-title":"Network traffie anomaly detection combining Mahalanobis distance and autoencoder","volume":"48","author":"beibei","year":"2022","journal-title":"Comput Eng"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098144"},{"key":"ref6","first-page":"1","article-title":"One-class SVMs for document classification","volume":"2","author":"manevitz","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CSAC.2003.1254306"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10292631.pdf?arnumber=10292631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T19:58:33Z","timestamp":1701115113000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10292631\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3326815","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}