{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:37:26Z","timestamp":1772933846154,"version":"3.50.1"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"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":[],"published-print":{"date-parts":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11401486","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"4207-4216","source":"Crossref","is-referenced-by-count":0,"title":["Information Granulation for Hierarchical Feature Selection in Detection of Anomalies in IoT Devices"],"prefix":"10.1109","author":[{"given":"\u0141ukasz","family":"Wawrowski","sequence":"first","affiliation":[{"name":"Łukasiewicz Research Network — Institute of Artificial Intelligence and Cybersecurity,Katowice,Poland,40-189"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konrad","family":"Chwe\u0142atiuk","sequence":"additional","affiliation":[{"name":"Łukasiewicz Research Network — Institute of Artificial Intelligence and Cybersecurity,Katowice,Poland,40-189"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcin","family":"Michalak","sequence":"additional","affiliation":[{"name":"Silesian University of Technology,Gliwice,Poland,44-100"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iwona","family":"Kostorz","sequence":"additional","affiliation":[{"name":"Łukasiewicz Research Network — Institute of Artificial Intelligence and Cybersecurity,Katowice,Poland,40-189"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominik","family":"\u015al\u0229zak","sequence":"additional","affiliation":[{"name":"QED Software sp. z o.o.,Warszawa,Poland,00-052"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Piotr","family":"Biczyk","sequence":"additional","affiliation":[{"name":"QED Software sp. z o.o.,Warszawa,Poland,00-052"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B\u0142a\u017cej","family":"Adamczyk","sequence":"additional","affiliation":[{"name":"Silesian University of Technology,Gliwice,Poland,44-100"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maksym","family":"Brz\u0229czek","sequence":"additional","affiliation":[{"name":"EFIGO sp. z o.o.,Katowice,Poland,40-064"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020442"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.iotcps.2023.09.003"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/app11188383"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-39592-8_22"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.29172\/7c2a6982-6d72-4cd8-bba6-2fccb06a7011"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335388"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134015"},{"key":"ref10","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","volume-title":"Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, KDD\u201996","author":"Ester"},{"key":"ref11","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","volume-title":"Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, KDD\u201996","author":"Ester"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2307\/1266761"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105480"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2024.111519"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2019.05.014"},{"key":"ref16","article-title":"Identification of Outliers. Monographs on Applied Probability and Statistics","author":"Hawkins","year":"1980","journal-title":"Springer Netherlands"},{"key":"ref17","first-page":"1345","article-title":"High accuracy and high fidelity extraction of neural networks","volume-title":"29th USENIX security symposium (USENIX Security 20)","author":"Jagielski","year":"2020"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-2068"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3211306"},{"key":"ref20","first-page":"392","article-title":"Algorithms for mining distance-based outliers in large datasets","volume-title":"Proceedings of the 24rd International Conference on Very Large Data Bases, VLDB \u201998","author":"Knorr","year":"1998"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v036.i11"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.15439\/2023F2385"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.06.023"},{"key":"ref24","first-page":"139","article-title":"One-class svms for document classification","author":"Manevitz","year":"2001","journal-title":"Journal of machine Learning research"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/658"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-50959-9_41"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.123808"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.csa.2024.100082"},{"key":"ref29","first-page":"178","article-title":"New techniques for protection of iot devices from malicious behavior using working set based system call whitelisting and argument clustering","volume":"13","author":"Reddy","year":"2022","journal-title":"JOURNAL OF ALGEBRAIC STATISTICS"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108125"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/s23020652"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1515\/9781400881970-018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICITIIT49094.2020.9071531"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2017.2772792"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2932769"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972795.13"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3338906.3338931"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489605"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11401486.pdf?arnumber=11401486","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T06:53:24Z","timestamp":1772866404000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11401486\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11401486","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}