车辆自组织网络中攻击检测和数据传输的聚类方法。

IF 1.1 3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Network-Computation in Neural Systems Pub Date : 2023-11-18 DOI:10.1080/0954898X.2023.2279973
Atul Barve, Pushpinder Singh Patheja
{"title":"车辆自组织网络中攻击检测和数据传输的聚类方法。","authors":"Atul Barve, Pushpinder Singh Patheja","doi":"10.1080/0954898X.2023.2279973","DOIUrl":null,"url":null,"abstract":"<p><p>We, the Editors and Publisher of <i>Network: Computation in Neural Systems</i>, have retracted the following article:Barve, A., & Patheja, P. S. (2023). A clustering approach for attack detection and data transmission in vehicular ad-hoc networks. <i>Network: Computation in Neural Systems</i>, 1-26. https://doi.org/10.1080/0954898X.2023.2279973Since publication, significant concerns have been raised about the fact that this article has substantial overlaps with the following article:Barve, A. & Patheja, P. S. (2023). A clustering approach for attack detection and data transmission in vehicular ad-hoc networks. <i>Ad Hoc & Sensor Wireless Networks</i>, 58. 1-2, p. 127-149.DOI: 10.32908/ahswn.v58.10375Further investigations by the Publisher revealed that these overlaps are present in all sections of the article, including the figures and tables without appropriate acknowledgement. Upon query, the authors agree that the article is a duplicate submission. As this is a serious breach of our Editorial Policies, we are retracting the article from the journal. The corresponding author listed in this publication has been informed.We have been informed in our decision-making by our editorial policies and the COPE guidelines.The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as 'Retracted'.</p>","PeriodicalId":54735,"journal":{"name":"Network-Computation in Neural Systems","volume":" ","pages":"101-126"},"PeriodicalIF":1.1000,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"RETRACTED ARTICLE: A clustering approach for attack detection and data transmission in vehicular ad-hoc networks.\",\"authors\":\"Atul Barve, Pushpinder Singh Patheja\",\"doi\":\"10.1080/0954898X.2023.2279973\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We, the Editors and Publisher of <i>Network: Computation in Neural Systems</i>, have retracted the following article:Barve, A., & Patheja, P. S. (2023). A clustering approach for attack detection and data transmission in vehicular ad-hoc networks. <i>Network: Computation in Neural Systems</i>, 1-26. https://doi.org/10.1080/0954898X.2023.2279973Since publication, significant concerns have been raised about the fact that this article has substantial overlaps with the following article:Barve, A. & Patheja, P. S. (2023). A clustering approach for attack detection and data transmission in vehicular ad-hoc networks. <i>Ad Hoc & Sensor Wireless Networks</i>, 58. 1-2, p. 127-149.DOI: 10.32908/ahswn.v58.10375Further investigations by the Publisher revealed that these overlaps are present in all sections of the article, including the figures and tables without appropriate acknowledgement. Upon query, the authors agree that the article is a duplicate submission. As this is a serious breach of our Editorial Policies, we are retracting the article from the journal. The corresponding author listed in this publication has been informed.We have been informed in our decision-making by our editorial policies and the COPE guidelines.The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as 'Retracted'.</p>\",\"PeriodicalId\":54735,\"journal\":{\"name\":\"Network-Computation in Neural Systems\",\"volume\":\" \",\"pages\":\"101-126\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Network-Computation in Neural Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1080/0954898X.2023.2279973\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Network-Computation in Neural Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/0954898X.2023.2279973","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

车载自组织网络(vanet)在智能城市和智能交通系统的应用中发挥着越来越重要的作用。然而,VANET通信的可靠性和稳定性面临着巨大的障碍。Natura 2000 (N2k)是全球最大的保护区协调网络,因其以保护为中心的管理结构缺乏战略眼光而受到严重批评。本研究提出了一个三阶段策略来解决这些问题,旨在有效和可持续地管理N2K场地。该新方法采用dnn辅助典型相关分析(DNN-CCAS),包括簇形成、簇头选择和爆发识别,以增强VANET安全性。车辆聚类从一种改进的k -辅音方法开始,通过AKCEM聚类强调位置和速度。通过线性测量漫步方法选择簇头,然后使用DNN-CCAS将数据安全传输到云,如果簇头被认为是正常的。所提出的方法优于现有的技术,达到了令人印象深刻的91%的准确率。这一综合战略不仅解决了VANET的通信挑战,而且旨在通过将战略愿景纳入保护实践,彻底改变N2K遗址的管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
RETRACTED ARTICLE: A clustering approach for attack detection and data transmission in vehicular ad-hoc networks.

We, the Editors and Publisher of Network: Computation in Neural Systems, have retracted the following article:Barve, A., & Patheja, P. S. (2023). A clustering approach for attack detection and data transmission in vehicular ad-hoc networks. Network: Computation in Neural Systems, 1-26. https://doi.org/10.1080/0954898X.2023.2279973Since publication, significant concerns have been raised about the fact that this article has substantial overlaps with the following article:Barve, A. & Patheja, P. S. (2023). A clustering approach for attack detection and data transmission in vehicular ad-hoc networks. Ad Hoc & Sensor Wireless Networks, 58. 1-2, p. 127-149.DOI: 10.32908/ahswn.v58.10375Further investigations by the Publisher revealed that these overlaps are present in all sections of the article, including the figures and tables without appropriate acknowledgement. Upon query, the authors agree that the article is a duplicate submission. As this is a serious breach of our Editorial Policies, we are retracting the article from the journal. The corresponding author listed in this publication has been informed.We have been informed in our decision-making by our editorial policies and the COPE guidelines.The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as 'Retracted'.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Network-Computation in Neural Systems
Network-Computation in Neural Systems 工程技术-工程:电子与电气
CiteScore
3.70
自引率
1.30%
发文量
22
审稿时长
>12 weeks
期刊介绍: Network: Computation in Neural Systems welcomes submissions of research papers that integrate theoretical neuroscience with experimental data, emphasizing the utilization of cutting-edge technologies. We invite authors and researchers to contribute their work in the following areas: Theoretical Neuroscience: This section encompasses neural network modeling approaches that elucidate brain function. Neural Networks in Data Analysis and Pattern Recognition: We encourage submissions exploring the use of neural networks for data analysis and pattern recognition, including but not limited to image analysis and speech processing applications. Neural Networks in Control Systems: This category encompasses the utilization of neural networks in control systems, including robotics, state estimation, fault detection, and diagnosis. Analysis of Neurophysiological Data: We invite submissions focusing on the analysis of neurophysiology data obtained from experimental studies involving animals. Analysis of Experimental Data on the Human Brain: This section includes papers analyzing experimental data from studies on the human brain, utilizing imaging techniques such as MRI, fMRI, EEG, and PET. Neurobiological Foundations of Consciousness: We encourage submissions exploring the neural bases of consciousness in the brain and its simulation in machines.
期刊最新文献
HCAR-AM ground nut leaf net: Hybrid convolution-based adaptive ResNet with attention mechanism for detecting ground nut leaf diseases with adaptive segmentation. Kruskal Szekeres generative adversarial network augmented deep autoencoder for colorectal cancer detection. Can human brain connectivity explain verbal working memory? Automatic screening of retinal lesions for detecting diabetic retinopathy using adaptive multiscale MobileNet with abnormality segmentation from public dataset. Key point trajectory prediction method of human stochastic posture falls.
×
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