Image Watermarking with Biometric Data for Copyright Protection

Morgan Barbier, J. L. Bars, C. Rosenberger
{"title":"Image Watermarking with Biometric Data for Copyright Protection","authors":"Morgan Barbier, J. L. Bars, C. Rosenberger","doi":"10.1109/ARES.2015.100","DOIUrl":null,"url":null,"abstract":"In this paper, we deal with the proof of ownership or legitimate usage of a digital content, such as an image, in order to tackle the illegitimate copy. The proposed scheme based on the combination of the watermarking and cancelable biometrics does not require a trusted third party, all the exchanges are between the provider and the customer. The use of cancelable biometrics allows us to provide a privacy compliant proof of identity. We illustrate the robustness of this method against intentional and unintentional attacks of the watermarked content.","PeriodicalId":331539,"journal":{"name":"2015 10th International Conference on Availability, Reliability and Security","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 10th International Conference on Availability, Reliability and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARES.2015.100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

In this paper, we deal with the proof of ownership or legitimate usage of a digital content, such as an image, in order to tackle the illegitimate copy. The proposed scheme based on the combination of the watermarking and cancelable biometrics does not require a trusted third party, all the exchanges are between the provider and the customer. The use of cancelable biometrics allows us to provide a privacy compliant proof of identity. We illustrate the robustness of this method against intentional and unintentional attacks of the watermarked content.
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
用于版权保护的生物特征数据图像水印
在本文中,我们处理所有权的证明或合法使用的数字内容,如图像,以解决非法复制。提出的基于水印和可取消生物特征相结合的方案不需要可信的第三方,所有的交换都在提供者和客户之间进行。使用可取消的生物识别技术使我们能够提供符合隐私的身份证明。我们说明了该方法对水印内容的有意和无意攻击的鲁棒性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Role and Security of Firewalls in IaaS Cloud Computing Intensifying State Surveillance of Electronic Communications: A Legal Solution in Addressing Extremism or Not? Countermeasures for Covert Channel-Internal Control Protocols A Performance Evaluation of Hash Functions for IP Reputation Lookup Using Bloom Filters Advanced Attribute-Based Key Management for Mobile Devices in Hybrid Clouds
×
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