Research on the Security Classification Conceptual Framework of Space Environment Scientific Data
It is necessary that establish a multi-dimensional and comprehensive security classification framework for space environmental data resources and form domain data security classification rules for complying with the requirements of the Data Security Law of the People's Republic of China and carrying out fine-grained domain data safety grading management.Space environmental scientific data resources are characterized by multiple-sources,multiple types,multiple spatial and temporal resolutions,and multiple modes.In order to meet the needs of data flow and sharing,domain data application,security management and so on,the National Space Science Data Center(NSSDC)has combined and analyzed the classification methods and features of different levels of data resources for the data security classification standards in other industries through case study and qualitative analysis.A logical line for determining the security level following damage is established by mapping it to data security classification rules,based on domain and data resource characteristics as well as post-reverse analysis.Based on these findings,a conceptual framework for data safety classification is developed that can be applied to various types of space environmental scientific data.The conceptual framework of space environmental scientific data security classification proposes a methodology for identifying data features based on domain data classification,and provides an approach for assessing security impacts based on confidentiality,integrity,accessibility,and authenticity.It also presents a reference framework for data security classification rules,which serves as the foundation for implementing data security classification management in the field of space environment and supports the establishment of an important data catalog in this domain.
data securitythe classification and categorization of data securitythe security classification of space environment scientific data
万方数据
维普
