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 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Computers & Security Pub Date : 2025-03-01 Epub Date: 2024-12-31 DOI:10.1016/j.cose.2024.104207
Sicong Li , Jian Wang , Yafei Song , Shuo Wang
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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This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).
This article has been retracted at the request of the Author.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.
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对“TriCh-LKRepNet:用于结构重参数化和三通道映射的大型内核卷积恶意代码分类网络”的撤回通知[计算机与安全144 (2024)103937]
这篇文章已被撤回:请参见爱思唯尔文章撤回政策(https://www.elsevier.com/locate/withdrawalpolicy).This文章已应作者要求被撤回。通讯作者要求修改文章的标题,因为作者认为研究中使用的模型的新名称会更符合文章的研究重点和创新点。文章发表后,不得修改标题。作者坚持认为修改标题是至关重要的,并决定撤回这篇文章。本刊同意,如果主编同意,作者可以提交一份新版本的手稿给本刊审阅和发表。
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
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.
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