利用神经网络检测OutGuess和Steghide插入的隐写

Z. Oplatková, Jiri Holoska, I. Zelinka, R. Šenkeřík
{"title":"利用神经网络检测OutGuess和Steghide插入的隐写","authors":"Z. Oplatková, Jiri Holoska, I. Zelinka, R. Šenkeřík","doi":"10.1109/AMS.2009.28","DOIUrl":null,"url":null,"abstract":"The paper deals with detection of steganography content. Steganography is an additional method in cryptography which helps to hide coded messages inside pictures or videos. To hide a message is very important but also revealing such content is important to avoid of usage by jailbirds. The revealing of steganography is not easy. This paper shows how neural networks are able to detect steganography content coded by a program OutGuess and Steghide using neural networks like taxonomist. Training sets were created from clear and coded pictures with different length of inserted message. Neural networks are methods which are very flexible in learning to different and difficult problems. Results in this paper show that used models had almost 100 % success in steganography detection of messages inserted by OutGuess and Steghide.","PeriodicalId":6461,"journal":{"name":"2009 Third Asia International Conference on Modelling & Simulation","volume":"2 1","pages":"7-12"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Detection of Steganography Inserted by OutGuess and Steghide by Means of Neural Networks\",\"authors\":\"Z. Oplatková, Jiri Holoska, I. Zelinka, R. Šenkeřík\",\"doi\":\"10.1109/AMS.2009.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper deals with detection of steganography content. Steganography is an additional method in cryptography which helps to hide coded messages inside pictures or videos. To hide a message is very important but also revealing such content is important to avoid of usage by jailbirds. The revealing of steganography is not easy. This paper shows how neural networks are able to detect steganography content coded by a program OutGuess and Steghide using neural networks like taxonomist. Training sets were created from clear and coded pictures with different length of inserted message. Neural networks are methods which are very flexible in learning to different and difficult problems. Results in this paper show that used models had almost 100 % success in steganography detection of messages inserted by OutGuess and Steghide.\",\"PeriodicalId\":6461,\"journal\":{\"name\":\"2009 Third Asia International Conference on Modelling & Simulation\",\"volume\":\"2 1\",\"pages\":\"7-12\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Third Asia International Conference on Modelling & Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AMS.2009.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third Asia International Conference on Modelling & Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMS.2009.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

本文主要研究隐写内容的检测问题。隐写术是密码学中的另一种方法,它有助于将编码信息隐藏在图片或视频中。隐藏消息非常重要,但为了避免被越狱者使用,显示这些内容也很重要。隐写术的揭露并不容易。本文展示了神经网络如何能够使用像taxonomist这样的神经网络来检测由OutGuess和Steghide程序编码的隐写内容。训练集由不同长度插入信息的清晰编码图片创建。神经网络是一种非常灵活的方法,可以学习不同的困难问题。本文的结果表明,所使用的模型对OutGuess和Steghide插入的消息进行隐写检测的成功率几乎为100%。
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
Detection of Steganography Inserted by OutGuess and Steghide by Means of Neural Networks
The paper deals with detection of steganography content. Steganography is an additional method in cryptography which helps to hide coded messages inside pictures or videos. To hide a message is very important but also revealing such content is important to avoid of usage by jailbirds. The revealing of steganography is not easy. This paper shows how neural networks are able to detect steganography content coded by a program OutGuess and Steghide using neural networks like taxonomist. Training sets were created from clear and coded pictures with different length of inserted message. Neural networks are methods which are very flexible in learning to different and difficult problems. Results in this paper show that used models had almost 100 % success in steganography detection of messages inserted by OutGuess and Steghide.
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
自引率
0.00%
发文量
0
期刊最新文献
A Transparent Classification Model Using a Hybrid Soft Computing Method Study on the Performance of Tag-Tag Collision Avoidance Algorithms in RFID Systems Cross Layer Design of Wireless LAN for Telemedicine Application Jawi Character Speech-to-Text Engine Using Linear Predictive and Neural Network for Effective Reading Advances in Supply Chain Simulation
×
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