A defended exploration strategies over encrypted cloud statistics permit an authorized consumer to query records files of interest with the aid of using filing encrypted query key phrases to the cloud server in a privateness-retaining manner. However, in exercise, the lower again query effects can also moreover furthermore be incorrect or incomplete inside the dishonest cloud environment. For instance, the cloud server also can intentionally miss a few certified consequences to computing sources and conversation overhead. Thus, a first-class-functional defended query framework want to provide a question results verification mechanism that lets in the statistics user to confirm consequences. On this paper, we construct a included, successfully unified, and notable-grained query effects authentication framework, by means of which, given an encrypted query outcomes set, the query character not most effective can affirm the correctness of every information document inside the set however can also similarly take a look at how many or which certified records documents aren't rebound if the set is incomplete earlier than decryption. The verification scheme is unfastened-coupling to concrete at ease are attempting to find techniques and may be very consequences easily included into any relaxed query scheme. We obtain the intention thru building defended verification item for encrypted cloud facts. Furthermore, a quick signature technique with extensively small garage charge is planned to guarantee the authenticity of verification object and a verification item request technique is offered to allow the question consumer to securely achive the favored verification item performance evaluation shows that the planned schemes are feasible and adequate.
针对加密云数据的受保护的查询策略允许授权用户以隐私保护的方式向云服务器提交加密查询关键词来查询感兴趣的记录文件。然而,在实际应用中,在不诚实的云环境中,返回的查询结果可能不正确或不完整。例如,云服务器可能会为了节省计算资源和通信开销而故意遗漏一些符合条件的结果。因此,一个功能良好的受保护查询框架需要提供一种查询结果验证机制,使数据用户能够验证结果。在本文中,我们构建了一个安全、高效统一且细粒度的查询结果认证框架,通过该框架,给定一个加密查询结果集,查询者不仅可以验证集中每个数据文件的正确性,还可以在解密前如果集合不完整的情况下检查有多少或哪些符合条件的数据文件未返回。该验证方案与具体的安全查询方法是松耦合的,可以很容易地集成到任何安全查询方案中。我们通过为加密云数据构建受保护的验证对象来实现这一目标。此外,还设计了一种存储开销极小的快速签名方法来保证验证对象的真实性,并提供了一种验证对象请求方法,使查询用户能够安全地获取所需的验证对象。性能评估表明,所设计的方案是可行且有效的。