In the present era, secure data storage for any Internet of Things (IoT) platform is plagued by poor performance of secure read and write operations, which limits the use of data storage security on any IoT platform. Therefore, in this paper, a data storage security method based on double secret key encryption and Hadoop suitable for any IoT platform is proposed. First, the Hadoop deep learning architecture and implementation process are analyzed, and the process of client Kerberos identity authentication in the Hadoop framework is discussed. From this, the current shortcomings of data storage security based on the Hadoop framework are analyzed. The elements of data storage security are also determined. Furthermore, a novel double secret key encryption method for data storage security and to improve the security of stored data itself is introduced. Simultaneously, hash computing is used to improve the read and write performance of data after secure storage. Experimental results clearly show that our proposed method can effectively improve read and write performance of data, and that the performance of data security operations is improved from current standard implementations.

中文翻译：

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物联网数据存储安全

在当今时代，任何物联网（IoT）平台的安全数据存储都受到安全读写操作性能不佳的困扰，这限制了数据存储安全在任何物联网平台上的使用。因此，本文提出了一种适用于任何物联网平台的基于双密钥加密和Hadoop的数据存储安全方法。首先分析了Hadoop深度学习架构和实现过程，讨论了Hadoop框架下客户端Kerberos身份认证的过程。由此，分析了当前基于Hadoop框架的数据存储安全性的不足。还确定了数据存储安全的要素。此外，还介绍了一种用于数据存储安全和提高存储数据本身安全性的新型双密钥加密方法。同时，通过哈希计算来提高安全存储后数据的读写性能。实验结果清楚地表明，我们提出的方法可以有效提高数据的读写性能，并且数据安全操作的性能比当前的标准实现有所提高。