Design and implementation of video steganography using Modified CNN algorithm

Ellappan Venugopal, S. Ranganathan, V. Velmurugan, Tadesse Hailu
{"title":"Design and implementation of video steganography using Modified CNN algorithm","authors":"Ellappan Venugopal, S. Ranganathan, V. Velmurugan, Tadesse Hailu","doi":"10.1109/ICAECC50550.2020.9339531","DOIUrl":null,"url":null,"abstract":"The expanded popularity of computerized media has raised genuine worries over its security related issues. Security attacks through listening in, disguising and altering and in numerous different structures is normal these days. The field of computerized steganography fixates on hiding data in advanced record designs. While the use of steganographic strategies comparable to image and sound documents has been broadly inquired about, examination into the utilization of other holder less stays constrained. The point of this undertaking is to investigate various techniques for safely encoding messages in a mixed media holder, using both the sound and video stream, and utilizing stegoanalysis to decide their adequacy. In this paper, structure a modified CNN-based stegoanalyzer for images got by applying steganography with a one of a kind inserting key. The proposed design implants less convolutions, with a lot bigger channels in the last convolutional layer, and is increasingly broad, it can manage bigger image and lower payloads.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECC50550.2020.9339531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The expanded popularity of computerized media has raised genuine worries over its security related issues. Security attacks through listening in, disguising and altering and in numerous different structures is normal these days. The field of computerized steganography fixates on hiding data in advanced record designs. While the use of steganographic strategies comparable to image and sound documents has been broadly inquired about, examination into the utilization of other holder less stays constrained. The point of this undertaking is to investigate various techniques for safely encoding messages in a mixed media holder, using both the sound and video stream, and utilizing stegoanalysis to decide their adequacy. In this paper, structure a modified CNN-based stegoanalyzer for images got by applying steganography with a one of a kind inserting key. The proposed design implants less convolutions, with a lot bigger channels in the last convolutional layer, and is increasingly broad, it can manage bigger image and lower payloads.
基于改进CNN算法的视频隐写的设计与实现
计算机化媒体的日益普及引起了人们对其安全相关问题的真正担忧。如今,通过监听、伪装、改变和多种不同结构的安全攻击是很常见的。计算机隐写术研究的重点是如何在先进的记录设计中隐藏数据。虽然与图像和声音文件相媲美的隐写策略的使用已被广泛询问,但对其他持有人较少使用的审查仍然受到限制。这项工作的重点是研究在混合媒体容器中安全编码信息的各种技术,同时使用声音和视频流,并利用隐写分析来决定它们的充分性。本文构造了一种改进的基于cnn的隐写分析器,该分析器采用了一种独一无二的插入密钥对隐写得到的图像进行处理。所提出的设计植入更少的卷积,在最后一个卷积层有更大的通道,并且越来越宽,它可以管理更大的图像和更低的有效载荷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信