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

fYear

2009

fDate

21-22 Dec. 2009

Firstpage

231

Lastpage

234

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet Computing for Science and Engineering (ICICSE), 2009 Fourth International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-6754-9

Type

conf

DOI

10.1109/ICICSE.2009.43

Filename

5521599