Access control technologies for Big Data management systems:literature review and future trends

作     者：Pietro Colombo Elena Ferrari 

作者机构：DiSTAUniversity of InsubriaVia Mazzini 521100 VareseItaly 

出 版 物：《Cybersecurity》 (网络空间安全科学与技术（英文）)

年 卷 期：2019年第2卷第1期

页      面：63-75页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Big Data Access control Privacy NoSQL data management systems 

摘      要：Data security and privacy issues are magnified by the volume,the variety,and the velocity of Big Data and by the lack,up to now,of a reference data model and related data manipulation *** this paper,we focus on one of the key data security services,that is,access control,by highlighting the differences with traditional data management systems and describing a set of requirements that any access control solution for Big Data platforms may *** then describe the state of the art and discuss open research issues.