Retraction Notice to “DL-SCA: An deep learning based approach for Intra-class CutMix Data Augmentation” [Physical Communication 63 (2024) 102288]

IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Physical Communication Pub Date : 2024-07-24 DOI:10.1016/j.phycom.2024.102448
Weiguang Liu
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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This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).

This article has been retracted at the request of the Editor-in-Chief.

The authors plagiarised content from a manuscript that was submitted to another journal. The title of the original manuscript is, “Intra-class CutMix Data Augmentation based Deep Learning Side Channel Attacks”, and was submitted by authors, Runlian Zhanga, Yu Moa, Zhaoxuan Pana, Hailong Zhangb, Yongzhuang Weia, Xiaonian Wua.

One of the conditions of submission of a paper for publication is that authors declare explicitly that their work is original. Reuse of any data should be appropriately cited. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and apologies are offered to readers of the journal that this was not detected during the submission process.

a Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology.

b State Key Laboratory of Information Security, Institute of Information Engineering Chinese Academy.

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关于《DL-SCA:基于深度学习的类内剪辑混合数据增强方法》的撤稿通知 [Physical Communication 63 (2024) 102288]
本文已被撤稿:请参阅爱思唯尔撤稿政策 (https://www.elsevier.com/locate/withdrawalpolicy)。应主编要求,本文已被撤稿。作者剽窃了另一期刊的投稿内容。原稿标题为《基于深度学习侧信道攻击的类内CutMix数据增强》,作者为张润莲(Runlian Zhanga)、于酩(Yu Moa)、帕纳(Zhaoxuan Pana)、张海龙(Hailong Zhangb)、魏永庄(Yongzhuang Weia)、吴小年(Xiaonian Wua)。提交论文发表的条件之一是作者明确声明其工作为原创。重复使用任何数据都应适当注明。因此,这篇文章是对科学出版制度的严重滥用。科学界对此持非常强烈的看法,在投稿过程中没有发现这一点,特此向本刊读者致歉。a 桂林电子科技大学广西密码学与信息安全重点实验室b 中国科学院信息工程研究所信息安全国家重点实验室。
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
Physical Communication
Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS
CiteScore
5.00
自引率
9.10%
发文量
212
审稿时长
55 days
期刊介绍: PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.
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