The Design And Implement Of Unstructured Data Assets Security Management And Control System

The business data of power grid running present the characteristics of a large amount,diversity and high value as an asset(data assets).For variety and huge amounts of data,the company's current means of security and technology cannot satisfy the data environment's and data protection requirements.Therefore,how to enhance data security protection technology of big data environments has become an urgent problem need to solve.This paper is under the environment of big data security research project technology research items of the guangdong power grid corporation information center,combining with the large data security related technologies at home and abroad,researching the big data security environment of firm,to design and develop of unstructured data assets security technology manage platform,so we can namage the full life-cycle of enterprise data security.This paper focuses on safety control technology for unstructured data to submit implementation method of unstructured data assets management system which is based on the classification of unstructured data.The system's security protection objective is unstructured data,according to the classification of grading method,the multi-source heterogeneous data assets are divided into several levels which around the whole life cycle of data recovering from storage,transmission,application and destruction.According to the data value for fine-grained,differentiated protection strategies,based on Hadoop database for statistical analysis of massive logs so as to realize the all-round,full view of the data assets safety protection.The system is mainly divided into four modules from the application,data classification management,log management,strategy management,platform management.Data asset classification and management will be offline data assets classification result which will is mapped to the meta information of system data assets,thus providing identification for subsequent protection strategies of the basic information level of different assets.Log management is divided into analysis,collection and mining process,its fundamental purpose is for the protection of data assets statistical analysis and subsequent tracking alarm events.And policy management is responsible for the different tools of protection issued policies to different tools to identify the appropriate level of protection of assets,and corresponding prevention and analysis.Platform management focuses on providing behavior and role management for users,to ensure that only authorized and legitimate users can access the system,and legal action.At present,the system has been completed the development work,and passed the test at the early stage of the network segment after commissioning and the third-party testing,and successful completion of work on the running line,basically meet the business needs of enterprises,achieve the goals of data life cycle security controls.