{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T07:15:43Z","timestamp":1771485343037,"version":"3.50.1"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T00:00:00Z","timestamp":1690761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T00:00:00Z","timestamp":1690761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004837","name":"Spanish Ministry of Science and Innovation","doi-asserted-by":"publisher","award":["PID2019-109247GBI00,TED2021-131310B-100,RTC2019-006871-7"],"award-info":[{"award-number":["PID2019-109247GBI00,TED2021-131310B-100,RTC2019-006871-7"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,31]]},"DOI":"10.1109\/csr57506.2023.10224965","type":"proceedings-article","created":{"date-parts":[[2023,8,28]],"date-time":"2023-08-28T17:50:16Z","timestamp":1693245016000},"page":"72-77","source":"Crossref","is-referenced-by-count":14,"title":["Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"],"prefix":"10.1109","author":[{"given":"Jorge","family":"Casaj\u00fas-Seti\u00e9n","sequence":"first","affiliation":[{"name":"Universidad Politécnica de Madrid,Computational Intelligence Group"}]},{"given":"Concha","family":"Bielza","sequence":"additional","affiliation":[{"name":"Universidad Politécnica de Madrid,Computational Intelligence Group"}]},{"given":"Pedro","family":"Larra\u00f1aga","sequence":"additional","affiliation":[{"name":"Universidad Politécnica de Madrid,Computational Intelligence Group"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"0","journal-title":"ICLR International Conference on Learning Representations"},{"key":"ref12","article-title":"Self-supervised and interpretable anomaly detection using network transform-ers","author":"marino","year":"2022","journal-title":"CoRR"},{"key":"ref15","first-page":"1243","article-title":"Convolutional sequence to sequence learning","author":"gehring","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2074"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s21155047"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/NGMAST.2015.71"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/proceedings2022082085"},{"key":"ref17","author":"zolanvari","year":"2021","journal-title":"WUSTLIIoT- 2021 dataset for IIoT cybersecurity research"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/S1388-3437(01)80108-6"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.14236\/ewic\/ICSCSR2013.3"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2912022"},{"key":"ref24","first-page":"4393","article-title":"Deep one-class classification","volume":"80","author":"ruff","year":"2018","journal-title":"Proceedings of the 35th International Conference on Machine Learning"},{"key":"ref23","first-page":"1","article-title":"ECOD: Unsupervised outlier detection using empirical cumulative distribution functions","author":"li","year":"2022","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48057-2_9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.2172\/911553"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3115\/1072064.1072067"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-036-2.50047-3"},{"key":"ref8","author":"tunstall","year":"2022","journal-title":"Natural Language Processing With Transformers"},{"key":"ref7","article-title":"Attention is all you need","volume":"abs 1706 3762","author":"vaswani","year":"2017","journal-title":"CoRR"},{"key":"ref9","article-title":"Transformer interpretability beyond attention visualization","volume":"abs 2012 9838","author":"chefer","year":"2020","journal-title":"CoRR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2018.04.007"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2018.04.015"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/app12031598"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2022.103614"}],"event":{"name":"2023 IEEE International Conference on Cyber Security and Resilience (CSR)","location":"Venice, Italy","start":{"date-parts":[[2023,7,31]]},"end":{"date-parts":[[2023,8,2]]}},"container-title":["2023 IEEE International Conference on Cyber Security and Resilience (CSR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10224900\/10224823\/10224965.pdf?arnumber=10224965","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T17:51:40Z","timestamp":1695664300000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10224965\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,31]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/csr57506.2023.10224965","relation":{},"subject":[],"published":{"date-parts":[[2023,7,31]]}}}