Unification of Graph Data Models for Heterogeneous Security Information Resources' Integration

被引：1
作者：
Sergey, Stupnikov [1 ]
Natalia, Miloslavskaya [2 ]
Vladimir, Budzko [1 ,2 ]
机构：
[1] Russian Acad Sci, Inst Informat Problems, Fed Res Ctr Comp Sci & Control, Moscow, Russia
[2] Natl Res Nucl Univ MEPhI, Moscow Engn Phys Inst, Moscow, Russia
来源：
2015 3RD INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD (FICLOUD) AND INTERNATIONAL CONFERENCE ON OPEN AND BIG (OBD) | 2015年
关键词：
graph data models; attributed graphs; data model mapping; security information resources' integration; information security management;
D O I：
10.1109/FiCloud.2015.13
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Integration of large heterogeneous data collections, gathered usually for making decisions on information security (IS) management issues, requires a preliminary step unification of their data models. It is provided by mapping the source data models into the canonical information model. Information and semantics of data definition languages (DDL) and semantics of the operations of data manipulation languages (DML) have to be preserved by the mapping. This research is devoted to the unification of the graph data models (GDM) the important kind of the existing various data models. The distinguishing features of modern GDM are discussed as well as their application in the information security (IS) area. The issues of proof of DDL and DML semantics preserving by the mapping of the GDM into the object-frame canonical model are briefly considered. Future work steps in applying research results to different IS management areas are indicated in conclusion.
引用
收藏
页码：457 / 464
页数：8
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