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首页> 外文期刊>Journal of supercomputing >Time-variant attribute-based multitype encryption algorithm for improved cloud data security using user profile
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Time-variant attribute-based multitype encryption algorithm for improved cloud data security using user profile

机译：基于时间变量的属性的多重电加密算法，用于使用用户配置文件改进云数据安全性

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摘要

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%.
机译：云计算变得更复杂，可以在不同级别的用户访问级别提供不同的服务。尽管在不同的级别访问了各种服务，但被访问的数据的安全性也是一个非常具有挑战性的服务。但是，讨论了云安全问题的许多加密方法;它们根据需要遭受更高的安全性。以前的ABFD（基于属性的灵活委派）算法使用一组策略在加密数据中使用策略中提到的特定密钥进行加密。但是，加密策略的泄漏将引入差的安全性，这可以通过在不同时间窗口中采用多重电加密标准来克服。据此，本文提出了一种有效的时变形属性的多元浦加密算法（TAM）。 TAM算法维护属性的分类和相关键，用于加密和解密。相应的键已被用于生成密文。分类学的内容在每个时间窗口中一直在发生动态变化，这使得完整性管理和安全性能的差异比以前的算法。 TAM方法引入了更高的安全性能，高达89.6％。该方法还将最高21秒的时间复杂度降低，并提高了高达96％的吞吐量性能。

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