Correction to “[Securing smart cities through machine learning: A honeypot-driven approach to attack detection in Internet of Things ecosystems]”

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
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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.

更正“[通过机器学习保护智慧城市:一种蜜罐驱动的物联网生态系统攻击检测方法]”
我们想从论文中删除以下引文:该引文的文内引文为[86]。基于FSO-LSTM的智能网络入侵检测系统。[j] .计算机工程学报,2014,34(2):444 - 444。https://doi.org/10.1007/s11227-024-05975-4.We于2023年12月30日提交了我们的论文,之前引用的工作是在2024年2月14日撤回。我们在电脑上保存了一篇旧版本的论文,在修改过程中没有检查当时的状态,这意味着我们没有注意到撤稿。我们为这个疏忽道歉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
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