摘要
为提高云计算环境下的用户数据的安全性,除保证传统的静态数据安全性元不能满足安全要求。对此,提出一种基于包含静态数据和动态数据在内的多种安全策略数据完整性保护模型。通过构建多副本的数据完整性保护方案,保护静态数据的完整性;通过分散流信息控制的数据安全保护模型,对数据对象的细粒度追踪,并对不同云计算用户数据进行隔离和保护,从而通过这种不同的安全策略,实现云计算平台数据的多级安全保护。
In order to improve the security of user data in the cloud computing environment,in addition to ensure that the tra-ditional static data security element can not meet the security requirements,in this paper,a data integrity protection model is pro-posed,which is based on a variety of security policies,including static data and dynamic data. For the establishment of user trust in security static data cloud storage platform,a dynamic update and publicly verified data integrity protection scheme is proposed, which provides remote data integrity verification for the users decentralized information flow control based on the theory,a decentral-ized information flow control model is proposed to protect data security,in order to achieve the fine-grained tracking of data ob-jects,and for different users of cloud computing data isolation and protection.
出处
《计算机与数字工程》
2017年第8期1625-1628,共4页
Computer & Digital Engineering
关键词
静态数据
动态数据
完整性保护
分散信息流
云存储
static data
dynamic data
integrity protection
distributed information flow
cloud storage