DocumentCode
531873
Title
The elimination of inference channel based on rough set theory
Author
Zhang, Dongwen ; Jiang, Jiang ; Qiu, Jiqing ; Wang, Peng
Author_Institution
Sch. of Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Volume
5
fYear
2010
fDate
22-24 Oct. 2010
Abstract
This paper addresses inference channel problem based on rough set theory. The data database is processed by the method of attribute and attribute value reduction in rough set theory. Besides, based on attribute value reduction, a new algorithm is proposed for finding inference rules in database. Further, the security level of condition attributes which has high attribute frequency is increased to the security level of decision attributes in inference rule and the inference channel could be eliminated. Finally the result of our experiment shows that the algorithm of eliminating inference channel is efficient and feasible.
Keywords
database management systems; rough set theory; security of data; attribute value reduction; database processing; inference channel elimination; inference rules; rough set theory; security level; Artificial neural networks; attribute value reduction; inference channel; inference control; inference rule; rough set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5619070
Filename
5619070
Link To Document