Index Reduction for Information Systems Security Risk Assessment Based on Rough Set Theory and Hierarchic Analysis

Author

Fu, Yu ; Wu, Xiaoping ; Zhu, Tingting

Author_Institution

Dept. of Inf. Security, Naval Univ. of Eng., Wuhan, China

Volume

3

fYear

2009

fDate

21-22 Nov. 2009

Firstpage

370

Lastpage

374

Abstract

Combining the rough set theory with hierarchic analysis model in view of their characteristics and introducing the definition of importance into non-core attributes, a new data reduction algorithm is proposed using a simple discriminative matrix. The validity and completeness of the algorithm is proved, by which the problem of index reduction for information systems security risk assessment is successfully solved. The results reveal that the algorithm is able to mine the knowledge and simplify the course of risk assessment.

Keywords

data mining; data reduction; information systems; matrix algebra; risk management; rough set theory; security of data; data reduction algorithm; discriminative matrix; hierarchic analysis model; index reduction; information systems security risk assessment; knowledge mining; rough set theory; Data analysis; Data engineering; Data security; Information analysis; Information security; Information systems; Management information systems; Risk analysis; Risk management; Set theory; AHP; Rough set theory; index reduction; information systems; risk assessment;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-0-7695-3859-4

Type

conf

DOI

10.1109/IITA.2009.425

Filename

5370620