大数据存储中数据完整性验证结果的检测算法
发布时间：2018-11-01 10:53
【摘要】：云存储作为云计算中最为广泛的应用之一,给用户带来了便利的接入和共享数据的同时,也产生了数据损坏和丢失等方面的数据完整性问题.现有的远程数据完整性验证中都是由可信任的第三方来公开执行数据完整性验证,这使得验证者有提供虚假伪造的验证结果的潜在威胁,从而使得数据完整性验证结果不可靠,尤其是当他与云存储提供者合谋时情况会更糟.提出一种数据验证结果的检测算法以抵御来自不可信验证结果的伪造欺骗攻击,算法中通过建立完整性验证证据和不可信检测证据的双证据模式来执行交叉验证,通过完整性验证证据来检测数据的完整性,利用不可信检测证据判定数据验证结果的正确性,此外,构建检测树来确保验证结果的可靠性.理论分析和模拟结果表明:该算法通过改善有效的验证结果来保证验证结果的可靠性和提高验证效率.
[Abstract]:Cloud storage, as one of the most widely used cloud computing applications, has brought users convenient access and sharing of data, but also caused data integrity problems such as data corruption and loss. In existing remote data integrity verification, data integrity verification is publicly performed by a trusted third party, which makes the verifier have the potential threat of providing false and falsified verification results, thus making the data integrity verification results unreliable. Especially if he conspires with a cloud storage provider. A detection algorithm for data verification results is proposed to resist forgery spoofing attacks from untrusted verification results. In the algorithm, cross-validation is performed by establishing dual evidence patterns of integrity verification evidence and untrusted detection evidence. The integrity of the data is detected by the integrity verification evidence, the correctness of the data verification result is determined by the untrusted detection evidence, and the reliability of the verification result is ensured by constructing the detection tree. Theoretical analysis and simulation results show that the algorithm can improve the reliability and efficiency of the verification results by improving the effective verification results.
【作者单位】： 东华大学计算机科学与技术学院;
【基金】：上海自然科学基金项目(15ZR1400900,15ZR1400300,16ZR1401100) 上海市教育科研项目(C160076) 国家自然科学基金项目(61402100,61772128) 同济大学高密度人居环境生态与节能教育部重点实验室种子基金项目 东华大学中央高校基本科研业务费专项资金项目(2232015D3-29)~~
【分类号】：TP333
[Abstract]:Cloud storage, as one of the most widely used cloud computing applications, has brought users convenient access and sharing of data, but also caused data integrity problems such as data corruption and loss. In existing remote data integrity verification, data integrity verification is publicly performed by a trusted third party, which makes the verifier have the potential threat of providing false and falsified verification results, thus making the data integrity verification results unreliable. Especially if he conspires with a cloud storage provider. A detection algorithm for data verification results is proposed to resist forgery spoofing attacks from untrusted verification results. In the algorithm, cross-validation is performed by establishing dual evidence patterns of integrity verification evidence and untrusted detection evidence. The integrity of the data is detected by the integrity verification evidence, the correctness of the data verification result is determined by the untrusted detection evidence, and the reliability of the verification result is ensured by constructing the detection tree. Theoretical analysis and simulation results show that the algorithm can improve the reliability and efficiency of the verification results by improving the effective verification results.
【作者单位】： 东华大学计算机科学与技术学院;
【基金】：上海自然科学基金项目(15ZR1400900,15ZR1400300,16ZR1401100) 上海市教育科研项目(C160076) 国家自然科学基金项目(61402100,61772128) 同济大学高密度人居环境生态与节能教育部重点实验室种子基金项目 东华大学中央高校基本科研业务费专项资金项目(2232015D3-29)~~
【分类号】：TP333
【相似文献】
相关期刊论文 前2条
1 付艳艳;张敏;陈开渠;冯登国;;面向云存储的多副本文件完整性验证方案[J];计算机研究与发展;2014年07期
2 李雪晓;叶云;田苗苗;黄刘生;;基于格的大数据动态存储完整性验证方案[J];信息网络安全;2014年04期
相关博士学位论文 前1条
1 谭霜;面向云存储的数据完整性验证技术研究[D];国防科学技术大学;2014年
相关硕士学位论文 前10条
1 赵宇龙;云存储中第三方审计机构在数据完整性验证中的应用[D];电子科技大学;2015年
2 钟金湘;云存储完整性验证方案的研究[D];广州大学;2016年
3 刘文平;云存储环境下数据完整性验证方案设计与优化[D];重庆邮电大学;2016年
4 李芝;云存储中数据吞吐量优化及完整性验证的研究[D];长沙理工大学;2015年
5 ，
本文编号：2303697
本文链接：https://www.wllwen.com/kejilunwen/jisuanjikexuelunwen/2303697.html
