{"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}
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.