Retraction notice to “TriCh-LKRepNet: A large kernel convolutional malicious code classification network for structure reparameterisation and triple-channel mapping” [Computers & Security 144 (2024) 103937]

IF 4.8 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Computers & Security Pub Date : 2024-12-31 DOI:10.1016/j.cose.2024.104207
Sicong Li , Jian Wang , Yafei Song , Shuo Wang
{"title":"Retraction notice to “TriCh-LKRepNet: A large kernel convolutional malicious code classification network for structure reparameterisation and triple-channel mapping” [Computers & Security 144 (2024) 103937]","authors":"Sicong Li ,&nbsp;Jian Wang ,&nbsp;Yafei Song ,&nbsp;Shuo Wang","doi":"10.1016/j.cose.2024.104207","DOIUrl":null,"url":null,"abstract":"<div><div>This article has been retracted: please see Elsevier Policy on Article Withdrawal (<span><span>https://www.elsevier.com/locate/withdrawalpolicy</span><svg><path></path></svg></span>).</div><div>This article has been retracted at the request of the Author.</div><div>The corresponding author requested to modify the title of the article, as the authors thought the new name of the model applied in the research would be better aligned with the research focus and innovations in the article. Title modification is not allowed after the publication of the article. The authors insisted that it is crucial to modify the title and decided to retract the article. The journal has agreed that the authors may submit a new version of the manuscript to the journal for review and publication, if accepted by the Editor-in-Chief.</div></div>","PeriodicalId":51004,"journal":{"name":"Computers & Security","volume":"150 ","pages":"Article 104207"},"PeriodicalIF":4.8000,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Security","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167404824005133","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).
This article has been retracted at the request of the Author.
The corresponding author requested to modify the title of the article, as the authors thought the new name of the model applied in the research would be better aligned with the research focus and innovations in the article. Title modification is not allowed after the publication of the article. The authors insisted that it is crucial to modify the title and decided to retract the article. The journal has agreed that the authors may submit a new version of the manuscript to the journal for review and publication, if accepted by the Editor-in-Chief.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Computers & Security
Computers & Security 工程技术-计算机:信息系统
CiteScore
12.40
自引率
7.10%
发文量
365
审稿时长
10.7 months
期刊介绍: Computers & Security is the most respected technical journal in the IT security field. With its high-profile editorial board and informative regular features and columns, the journal is essential reading for IT security professionals around the world. Computers & Security provides you with a unique blend of leading edge research and sound practical management advice. It is aimed at the professional involved with computer security, audit, control and data integrity in all sectors - industry, commerce and academia. Recognized worldwide as THE primary source of reference for applied research and technical expertise it is your first step to fully secure systems.
期刊最新文献
Understanding the chief information security officer: Qualifications and responsibilities for cybersecurity leadership HER-PT: An intelligent penetration testing framework with Hindsight Experience Replay Editorial Board AGLFuzz: Automata-Guided Fuzzing for detecting logic errors in security protocol implementations Design and implementation of a closed loop time delay feedback control (CLTD-FC) system for mitigating DDos attacks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1