Title :
Ontology Security Strategy of Security Data Integrity
Author :
Meng, Yulong ; Yin, Guisheng ; Geng, Ke
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
Abstract :
There exists a variety of heterogeneous data that need to be integrated within a secure domain. How to integrate the security data from various data source safely is a challenge for database researchers. In this paper, we introduce a new model for security data integrity, Weight-value-Extended MLS (WEMLS), which is development based on MLS. Compared with MLS, WEMLS can not only guarantee the security and integrity of data accessing, but also provide a more flexible mechanism for data accessing. Finally, WEMLS has been verified by proposing a security data integration model based on ontology.
Keywords :
data integrity; distributed databases; ontologies (artificial intelligence); security of data; data accessing; data source; database researcher; heterogeneous data; multilevel security; ontology security strategy; secure domain; security data integrity; weight-value-extended MLS; Computer science; Computer security; Data engineering; Data security; Dictionaries; Information security; Multilevel systems; Ontologies; Protection; Vocabulary; Multilevel security; Ontology; Security data; Trusted subjects;
Conference_Titel :
Internet Computing for Science and Engineering (ICICSE), 2009 Fourth International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-6754-9
DOI :
10.1109/ICICSE.2009.43
