{"title":"Correction to “[Securing smart cities through machine learning: A honeypot-driven approach to attack detection in Internet of Things ecosystems]”","authors":"","doi":"10.1049/smc2.12094","DOIUrl":null,"url":null,"abstract":"<p>We would like to remove the following citation from the paper: The in-text citation for this is [86].</p><p>Saad Alqahtani, A.: FSO-LSTM IDS: hybrid optimized and ensembled deep-learning network-based intrusion detection system for smart networks. J. Supercomput. 78, 9438–9455 (2022). https://doi.org/10.1007/s11227-024-05975-4.</p><p>We submitted our paper on the 30th of December 2023 prior to the retraction of the referenced work which was on the 14th of Feb 2024. We had an older version of the paper saved on our computer and did not check the status at the time during the revision process, meaning we did not notice the retraction. We apologise for this oversight.</p>","PeriodicalId":34740,"journal":{"name":"IET Smart Cities","volume":"6 4","pages":"441"},"PeriodicalIF":2.1000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smc2.12094","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Smart Cities","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/smc2.12094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
We would like to remove the following citation from the paper: The in-text citation for this is [86].
Saad Alqahtani, A.: FSO-LSTM IDS: hybrid optimized and ensembled deep-learning network-based intrusion detection system for smart networks. J. Supercomput. 78, 9438–9455 (2022). https://doi.org/10.1007/s11227-024-05975-4.
We submitted our paper on the 30th of December 2023 prior to the retraction of the referenced work which was on the 14th of Feb 2024. We had an older version of the paper saved on our computer and did not check the status at the time during the revision process, meaning we did not notice the retraction. We apologise for this oversight.