基于物联网的云数据存储访问和隐私保护机制研究

ON MECHANISM OF CLOUD DATA STORAGE ACCESS AND PRIVACY PROTECTION BASED ON INTERNET OF THINGS

针对物联网环境下云数据的可信存储、用户隐私信息的可靠保护和访问控制的有效性等问题,提出基于物联网的云数据存储访问与隐私保护机制。在该机制中,首先对云数据库中的数据信息进行基于关系模式的最小属性分解,针对单独属性或属性子集对象进行动态交换加密,生成满足隐私约束规则的最小粒度的密钥,然后针对用户隐私信息从预处理和在线查询两个方面进行保护,当用户进行数据信息访问时,依据授权进行密钥获取,并依据解密算法进行明文解析,当用户授权被撤销时,依据数据库代理服务器更新算法进行信息更新。实验证明,该机制具有良好的执行效率,当资源规模较大时,该访问机制更具有优势。

In light of the issues of trustable storage of cloud data and the effectiveness of reliable protection and access control of users privacy information in environment of Internet of Things, we propose an Internet of Things-based mechanism for cloud data storage access and privacy protection. In this mechanism, first the minimum attribute decomposition is applied based on relationship model to the data information in cloud data database, the dynamic exchange is performed on single attribute or attributes subset objects for encryption to generate the key with minimum grain size and meeting the privacy constraint rules, and then, the protection is implemented for user privacy information from two aspects of pretreatment and online query, when the user access the data information, they ask the key acquisition according to the authorisation, and parse the plaintext according to decryption algorithm ; if users authorisation has been revoked, then the information will be updated according to the update algorithm of proxy server of database. Experimental results prove that the mechanism has good implementation efficiency, when the resources are in large scale, this mechanism are in more advantage.