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]
{"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 , Jian Wang , Yafei Song , 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This article has been retracted: please see Elsevier Policy on Article Withdrawal (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This article has been retracted at the request of the Author.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This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).
This article has been retracted at the request of the Author.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.
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.