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
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;
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
DOI :
10.1109/ICCASM.2010.5619070