Research on Protecting Information Security Based on the Method of Hierarchical Classification in the Era of Big Data

作     者：Guangyong Yang Mengke Yang Shafaq Salam Jianqiu Zeng 

作者机构：School of Economics&ManagementBeijing University of Posts and TelecommunicationsBeijing100876China School of AutomationBeijing University of Posts and TelecommunicationsBeijing100876China Beaconhouse School SystemPeshawarPakistan 

出 版 物：《Journal of Cyber Security》 (网络安全杂志（英文）)

年 卷 期：2019年第1卷第1期

页      面：19-28页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0801[工学-力学（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 070101[理学-基础数学] 

基　　金：Key Project of Graduate Education Reform and Research of Beijing University of Posts and Telecommunications 

主　　题：Big data hierarchical classification rough sets information index system 

摘      要：Big data is becoming increasingly important because of the enormous information generation and storage in recent *** has become a challenge to the data mining technique and *** on the characteristics of geometric explosion of information in the era of big data,this paper studies the possible approaches to balance the maximum value and privacy of information,and disposes the Nine-Cells information matrix,hierarchical ***,the paper uses the rough sets theory to proceed from the two dimensions of value and privacy,establishes information classification method,puts forward the countermeasures for information *** spam messages for example,the massive spam messages can be classified,and then targeted hierarchical management strategy was put *** paper proposes personal Information index system,Information management platform and possible solutions to protect information security and utilize information value in the age of big data.