云存储中一种基于格的数据完整性验证方法
发布时间：2018-10-20 08:28
【摘要】：随着云存储技术的发展,用户可以从远程云中按需获取高质量的应用和服务,而不用担心本地的数据管理存储.由于用户在本地不再保留任何数据副本,故无法确保云中数据的完整性.为了解决这一问题,提出了一种面向于云存储环境的、基于格的数据完有性验证机制,该机制能有效地识别云存储中侵犯用户数据完整性的违规行为,且在随机预言机模型下被证明是安全的.另外,设计的协议还具有其他3种好的属性,即支持数据块级的动态操作、支持签名数据上的同态计算及支持多用户验证.最后,给出了现有的多种完整性验证机制之间的对比,以及基于格的数据完整性验证方法存在的一些问题及发展方向.
[Abstract]:With the development of cloud storage technology, users can obtain high-quality applications and services from the remote cloud on demand without worrying about local data management storage. The integrity of the data in the cloud cannot be ensured because the user no longer keeps any copies of the data locally. In order to solve this problem, a lattice-based data completion verification mechanism for cloud storage environment is proposed, which can effectively identify violations of user data integrity in cloud storage. And it is proved to be safe under the model of random prophecy. In addition, the designed protocol has three other good properties, namely, supporting dynamic operation at block level, homomorphic computation on signature data and multi-user verification. Finally, the comparison between the existing integrity verification mechanisms and some problems in the lattice based data integrity verification method and its future development are given.
【作者单位】： 国防科学技术大学计算机学院;
【基金】：国家“八六三”高技术研究发展计划基金项目(2012AA01A401,2012AA01A402) 国家自然科学基金项目(61472433)
【分类号】：TP333
[Abstract]:With the development of cloud storage technology, users can obtain high-quality applications and services from the remote cloud on demand without worrying about local data management storage. The integrity of the data in the cloud cannot be ensured because the user no longer keeps any copies of the data locally. In order to solve this problem, a lattice-based data completion verification mechanism for cloud storage environment is proposed, which can effectively identify violations of user data integrity in cloud storage. And it is proved to be safe under the model of random prophecy. In addition, the designed protocol has three other good properties, namely, supporting dynamic operation at block level, homomorphic computation on signature data and multi-user verification. Finally, the comparison between the existing integrity verification mechanisms and some problems in the lattice based data integrity verification method and its future development are given.
【作者单位】： 国防科学技术大学计算机学院;
【基金】：国家“八六三”高技术研究发展计划基金项目(2012AA01A401,2012AA01A402) 国家自然科学基金项目(61472433)
【分类号】：TP333
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