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Unification of Graph Data Models for Heterogeneous Security Information Resources’ Integration.
| Author(s): | Stupnikov Sergey, Miloslavskaya Natalia, Budzko Vladimir. |
| Created: | 2015/08/30 |
| Published: | Proc. of the 3rd International Conference on Future Internet of Things and Cloud. IEEE, 2015. -- P. 457-464. |
| Abstract: | |
| 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. |
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