{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T20:46:59Z","timestamp":1782506819252,"version":"3.54.5"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/tii.2026.3650787","type":"journal-article","created":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T20:31:43Z","timestamp":1769545903000},"page":"3646-3657","source":"Crossref","is-referenced-by-count":0,"title":["RL-ACID: Reinforcement Learning-Optimized Adaptive Causal Discovery for Robust Anomaly Detection in Industrial Systems"],"prefix":"10.1109","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-4225-4575","authenticated-orcid":false,"given":"Hechen","family":"Yang","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5458-541X","authenticated-orcid":false,"given":"Yu","family":"Yao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1387-5846","authenticated-orcid":false,"given":"Licheng","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4471-0026","authenticated-orcid":false,"given":"Wei","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Software, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/c2013-0-06836-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-022-00753-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3470902"},{"key":"ref4","article-title":"HAI 1.0: HIL-based augmented ICS security dataset","volume-title":"Proc. 13Th USENIX Workshop Cyber Secur. Experimentation Test (CSET 20)","author":"Shin","year":"2020"},{"key":"ref5","first-page":"1388","article-title":"Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets","volume-title":"Proc. Conf. Uncertainty Artif. Intell.","author":"Runge","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00408-w"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3514205"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3691338"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2025.3581578"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2025.3541890"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3228493"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2024.3381579"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2018.09.330"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/app10062166"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2021.126379"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6616800"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112281"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2024.3447108"},{"key":"ref19","article-title":"Dags with no tears: Continuous optimization for structure learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Zheng","year":"2018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CySWater.2016.7469060"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3055366.3055375"},{"key":"ref22","article-title":"Industrial control system (ICS) cyber attack datasets","volume-title":"Datasets Experimentation","author":"Adhikari","year":"2019"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/0098-1354(93)80018-I"},{"key":"ref24","first-page":"3711","article-title":"DROCC: Deep robust one-class classification","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Goyal","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16523"},{"key":"ref26","article-title":"Graph-augmented normalizing flows for anomaly detection of multiple time series","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dai","year":"2022"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25623"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i16.33921"},{"key":"ref29","article-title":"Root cause analysis of anomalies in multivariate time series through granger causal discovery","volume-title":"Proc. 13th Int. Conf. Learn. Representations","author":"Han","year":"2025"},{"key":"ref30","first-page":"1595","article-title":"Dynotears: Structure learning from time-series data","volume-title":"Int. Conf. Artif. Intell. Statist.","author":"Pamfil","year":"2020"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1353\/obs.2019.0001"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10827-010-0262-3"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CyberSecurity49315.2020.9138871"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9424\/11510759\/11365582.pdf?arnumber=11365582","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T19:48:48Z","timestamp":1782503328000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11365582\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":33,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tii.2026.3650787","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]}}}