Data security in centralized storage needs advancement in privacy standards because of all of the cloud. The data security in the cloud has been well provided by security industries like cloud network security, data center security, distributed security and soon, also their exist numerous techniques to preserve the privacy of cloud users. The earlier methods enforce user privacy by restricting the malicious access from various users. Data authentication is provable access to keep privacy among other standards. However, the privacy of cloud users has been breached on several occasions. To improve cloud security and enforce efficient privacy preservation, a multi-level micro access restriction algorithm has been presented in this paper. The cloud data has been indexed in multiple levels, the data present in each level has been restricted using the profile and set if encryption standards. The user request has been evaluated for its trusted access according to the access grant present in profile data. Similarly, the cloud data has been encrypted with the user key and the key belongs to the data owner. The method estimates micro access trust weight (MATW), which has been used to restrict the user from malicious access and to preserve user privacy. The method improves the performance of cloud security and introduces higher privacy preservation accuracy.

集中式存储中的数据安全性需要所有云，因此需要提高隐私标准。云网络安全，数据中心安全，分布式安全等安全行业已经很好地提供了云中的数据安全性，并且它们还存在许多保护云用户隐私的技术。较早的方法通过限制各种用户的恶意访问来实施用户隐私。数据身份验证是可证明的访问，以在其他标准中保护隐私。但是，云用户的隐私已多次遭到破坏。为了提高云安全性并有效地保护隐私，提出了一种多层次的微访问限制算法。云数据已在多个级别建立索引，使用配置文件限制了每个级别中存在的数据，并设置了加密标准。根据配置文件数据中存在的访问权限，已评估用户请求的可信访问权限。同样，云数据已使用用户密钥加密，并且该密钥属于数据所有者。该方法估计微访问信任权重（MATW），已被用来限制用户免受恶意访问并保护用户隐私。该方法提高了云安全性能，并引入了更高的隐私保存精度。该方法估计微访问信任权重（MATW），已被用来限制用户免受恶意访问并保护用户隐私。该方法提高了云安全性能，并引入了更高的隐私保存精度。该方法估计微访问信任权重（MATW），已被用来限制用户免受恶意访问并保护用户隐私。该方法提高了云安全性能，并引入了更高的隐私保存精度。