{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T13:04:57Z","timestamp":1770728697059,"version":"3.49.0"},"reference-count":23,"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\/501100007707","name":"INAIL","doi-asserted-by":"publisher","award":["BRIC2021-ID03"],"award-info":[{"award-number":["BRIC2021-ID03"]}],"id":[{"id":"10.13039\/501100007707","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\/csr57506.2023.10224915","type":"proceedings-article","created":{"date-parts":[[2023,8,28]],"date-time":"2023-08-28T17:50:16Z","timestamp":1693245016000},"page":"412-417","source":"Crossref","is-referenced-by-count":14,"title":["Evaluating Machine Learning Approaches for Cyber and Physical Anomalies in SCADA Systems"],"prefix":"10.1109","author":[{"given":"L.","family":"Faramondi","sequence":"first","affiliation":[{"name":"University Campus Bio-Medico di Roma,Unit of Automatic Control,Rome,Italy,00128"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F.","family":"Flammini","sequence":"additional","affiliation":[{"name":"School of Innovation, Design and Engineering, Mälardalen University,Eskilstuna,Sweden,63220"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Guarino","sequence":"additional","affiliation":[{"name":"University Campus Bio-Medico di Roma,Unit of Automatic Control,Rome,Italy,00128"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Setola","sequence":"additional","affiliation":[{"name":"University Campus Bio-Medico di Roma,Unit of Automatic Control,Rome,Italy,00128"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clsr.2019.06.007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.6028\/nist.sp.800-82e2008"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAE.2010.5451799"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MAES.2017.160047"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2015.2487684"},{"key":"ref6","first-page":"1","article-title":"An overview of flow-based and packet-based intrusion detection performance in high speed networks","volume-title":"Proceedings of the International Arab Conference on Information Technology","author":"Alaidaros","year":"2011"},{"key":"ref7","author":"\u00d6zg\u00fcr","year":"2016","journal-title":"A review of kdd99 dataset usage in intrusion detection and machine learning between 2010 and 2015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CISDA.2009.5356528"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2017.07.038"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-71368-7_8"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3109465"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IWMN.2019.8805036"},{"issue":"22","key":"ref13","doi-asserted-by":"crossref","DOI":"10.3390\/math10224373","article-title":"Deep learning-based cyberndash;physical feature fusion for anomaly detection in industrial control systems","volume":"10","author":"Du","year":"2022","journal-title":"Mathematics"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2899015.2899016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-39964-3_62"},{"key":"ref16","first-page":"41","article-title":"An empirical study of the naive bayes classifier","volume-title":"IJCAI 2001 workshop on empirical methods in artificial intelligence","author":"Rish","year":"2001"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/nbt1206-1565"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1201.0490"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1186\/s13634-016-0355-x"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2006.01.007"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/11941439_114"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1080\/095281300146272"}],"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\/10224915.pdf?arnumber=10224915","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T04:05:46Z","timestamp":1710389146000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10224915\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,31]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/csr57506.2023.10224915","relation":{},"subject":[],"published":{"date-parts":[[2023,7,31]]}}}