Title :
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
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;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.425
