An Architectural Framework for Metadata and Examine ItsImpact On Security Indicators in This Area

In emerging metadata technology, the collection, processing, data mining,and extraction of knowledge from a wide variety of large amounts of data isperformed by complex software systems such as Hadoop. Optimizing the opportunitiescreated and managing security threats and challenges in this arearequires considering all aspects and processes in the form of an architecturalframework. The main objective of this study is to provide an architecturalframework for metadata. To do this, the components of the initial frameworkare modified and reviewed by comparing and critically reviewing the researchconducted through interviews with experts, and then, its effect on metadatasecurity indicators using structural equation modeling and software SmartPLS Quantitatively was evaluated. This research is applied in terms of purposeand descriptive-survey in terms of method. The statistical populationalso includes 55 experts in organizational architecture and cyberspace security,of which 35 were selected as the statistical sample. The research findingsconfirm the proper fit of the proposed architectural framework and thesignificant impact of its components on metadata security.