A FRAMEWORK FOR SECURITY POLICIES MODELING FOR BIG DATA SYSTEMS
A. S. Berko, M. A. Poltavtseva Peter the Great St. Petersburg Polytechnic University
Annotation: This paper is about the task of automating the analysis of access control in big data management systems by modeling security policies. The paper analyzes modern methods of access control in this class of systems, defines the requirements and selects the most promising one to describe the security policy within the framework of the developed solution. The task of modeling security policies in big data management systems is set. The architecture, main components and generalized algorithm of the software framework for its solution are presented. The results of experimental validation are also presented, the advantages and disadvantages of the framework are evaluated and the ways of its further development are proposed.
Keywords: big data security, big data management systems, access control, attribute access control, security policy, security policy modeling.