基于水印共享的关系数据库水印模型

C. Jin, Yu Fu, Feng Tao
{"title":"基于水印共享的关系数据库水印模型","authors":"C. Jin, Yu Fu, Feng Tao","doi":"10.1109/IIH-MSP.2006.165","DOIUrl":null,"url":null,"abstract":"In this paper we propose a conceptual framework for relational database based on secret sharing technology. We offer a technique to break the main secret into multiple parts and hide them individually in a relational database. The Lagrange Interpolating Polynomial method is used to recover the shared secret. The (k, n) threshold scheme is used to decide the minimum number of parts required to recover the secret data completely. Through deep data analysis, experimental results show how the proposed scheme can offer robust mechanism to protect data loss especially for the tuples deleting.","PeriodicalId":272579,"journal":{"name":"2006 International Conference on Intelligent Information Hiding and Multimedia","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"The Watermarking Model for Relational Database Based on Watermarking Sharing\",\"authors\":\"C. Jin, Yu Fu, Feng Tao\",\"doi\":\"10.1109/IIH-MSP.2006.165\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a conceptual framework for relational database based on secret sharing technology. We offer a technique to break the main secret into multiple parts and hide them individually in a relational database. The Lagrange Interpolating Polynomial method is used to recover the shared secret. The (k, n) threshold scheme is used to decide the minimum number of parts required to recover the secret data completely. Through deep data analysis, experimental results show how the proposed scheme can offer robust mechanism to protect data loss especially for the tuples deleting.\",\"PeriodicalId\":272579,\"journal\":{\"name\":\"2006 International Conference on Intelligent Information Hiding and Multimedia\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Conference on Intelligent Information Hiding and Multimedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIH-MSP.2006.165\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Intelligent Information Hiding and Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2006.165","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

本文提出了一个基于秘密共享技术的关系数据库概念框架。我们提供了一种技术,将主秘密分解为多个部分,并将它们单独隐藏在关系数据库中。采用拉格朗日插值多项式方法恢复共享密钥。(k, n)阈值方案用于确定完全恢复秘密数据所需的最小部件数。通过深入的数据分析,实验结果表明,该方案能够提供可靠的数据丢失保护机制,特别是在元组删除时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Watermarking Model for Relational Database Based on Watermarking Sharing
In this paper we propose a conceptual framework for relational database based on secret sharing technology. We offer a technique to break the main secret into multiple parts and hide them individually in a relational database. The Lagrange Interpolating Polynomial method is used to recover the shared secret. The (k, n) threshold scheme is used to decide the minimum number of parts required to recover the secret data completely. Through deep data analysis, experimental results show how the proposed scheme can offer robust mechanism to protect data loss especially for the tuples deleting.
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
×
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:481959085
Book学术官方微信