This article will present new classes of confidential data management algorithms for the protection and safeguarding of classified data. These algorithms will constitute a solution dedicated to supporting the process of safeguarding and protecting information with various meanings and in different forms. A special type of data is services, understood as information subject to the processes of management and protection. These processes will be discussed on the example of selected solutions dedicated to the concealment of information with secret character. A novelty presented in this article is the possibility to apply algorithms based on the meaning interpretation of the analyzed data in order to secure the data properly; there is also a possibility of executing the proposed solutions regardless of the structure, in which these solutions are to be implemented. An effective execution of data protection tasks will be discussed on the example of two-stage secret protection algorithms, that is, the protection of the basic data set and the information set with meanings generated on the basis of the semantic secret analysis. Standard secret division approaches are not dependent on semantic content of shared information. In this article, we will be presented such novel approach, which allow to divide data depending on its semantic meaning or content. The problem of semantic meaning evaluation will be solved using cognitive information systems, allowing to extract meaning hidden in the splitted data.

中文翻译：

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用于云服务管理的新认知共享算法

本文将介绍用于保护和维护机密数据的新型机密数据管理算法。这些算法将构成一个解决方案，致力于支持保护和保护具有各种含义和不同形式的信息的过程。一种特殊类型的数据是服务，被理解为受管理和保护过程约束的信息。将在专门用于隐藏具有秘密特征的信息的选定解决方案的示例中讨论这些过程。本文提出的一个新颖之处是可以应用基于分析数据的含义解释的算法以正确保护数据；无论结构如何，也有可能执行所提出的解决方案，将在其中实施这些解决方案。以两阶段秘密保护算法为例，讨论如何有效执行数据保护任务，即保护基本数据集和基于语义秘密分析生成的含义信息集。标准的秘密划分方法不依赖于共享信息的语义内容。在本文中，我们将介绍这种新颖的方法，它允许根据其语义或内容来划分数据。语义评估问题将使用认知信息系统解决，允许提取隐藏在拆分数据中的含义。保护基础数据集和基于语义秘密分析产生的意义信息集。标准的秘密划分方法不依赖于共享信息的语义内容。在本文中，我们将介绍这种新颖的方法，它允许根据其语义或内容来划分数据。语义评估问题将使用认知信息系统解决，允许提取隐藏在拆分数据中的含义。保护基础数据集和基于语义秘密分析产生的意义信息集。标准的秘密划分方法不依赖于共享信息的语义内容。在本文中，我们将介绍这种新颖的方法，该方法允许根据其语义或内容来划分数据。语义评估问题将使用认知信息系统解决，允许提取隐藏在拆分数据中的含义。