Cloud computing becomes more sophisticated to provide different services at different levels of user access. Even though various services are accessed at a different level, the security of data being accessed is a highly challenging one. However, there is a number of encryption approaches discussed toward the problem of cloud security; they suffer to achieve higher security as required. The previous ABFD (attribute-based flexible delegation) algorithm uses a set of policies in encrypting the data with specific keys mentioned in the policy. However, the leakage of encryption policy would introduce poor security which can be overcome by adopting multitype encryption standards in different time windows. According to this, an efficient time-variant attribute-based multitype encryption algorithm (TAM) is presented in this paper. The TAM algorithm maintains a taxonomy of attributes and related keys to be used for encryption and decryption. The corresponding keys have been used to generate the ciphertext. The content of taxonomy has been dynamically changing in each time window which makes the difference in integrity management and security performance than previous algorithms. The TAM approach introduces a higher security performance up to 89.6%. The method also reduces the time complexity up to 21 s and increases the throughput performance up to 96%.

中文翻译：

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基于时变属性的多类型加密算法，使用用户配置文件提高云数据安全性

云计算变得更加复杂，可以在不同的用户访问级别提供不同的服务。即使在不同级别访问各种服务，被访问数据的安全性也是一个极具挑战性的问题。但是，针对云安全问题讨论了许多加密方法；他们需要根据需要获得更高的安全性。之前的 ABFD（基于属性的灵活委派）算法使用一组策略来使用策略中提到的特定密钥加密数据。然而，加密策略的泄露会带来较差的安全性，这可以通过在不同时间窗口采用多类型加密标准来克服。据此，本文提出了一种高效的基于时变属性的多类型加密算法（TAM）。TAM 算法维护用于加密和解密的属性和相关密钥的分类。相应的密钥已用于生成密文。分类的内容在每个时间窗口都在动态变化，这使得在完整性管理和安全性能方面与以前的算法有所不同。TAM 方法引入了高达 89.6% 的更高安全性能。该方法还将时间复杂度降低至 21 秒，并将吞吐量性能提高至 96%。分类的内容在每个时间窗口都在动态变化，这使得在完整性管理和安全性能方面与以前的算法有所不同。TAM 方法引入了高达 89.6% 的更高安全性能。该方法还将时间复杂度降低至 21 秒，并将吞吐量性能提高至 96%。分类的内容在每个时间窗口都在动态变化，这使得在完整性管理和安全性能方面与以前的算法有所不同。TAM 方法引入了高达 89.6% 的更高安全性能。该方法还将时间复杂度降低至 21 秒，并将吞吐量性能提高至 96%。