Abstract:The relations among objects with secure level are very complex, which leads to the problems of security in multi-level network, such as information leakage by object aggregation. This paper puts forward a level inference method for aggregated information of objects based on clustering analysis. This method makes the reduction of attributes by the importance degree of attribute in one object, and attribute vector is formed. Then, according to formal concept analysis, this method accomplishes comparability analysis of objects in the same secure domain by gravity among concepts so that objects can be aggregated. Finally, according to probability estimate of fuzzy set about secure level of attributes or sets of attribute, probability of higher level information inferred by aggregation of similar objects is computed, which may effectively establish access control policy in multi-level network, and accomplish restricted access of congeneric objects in order to reduce the risk of information system.
曹利峰, 陈性元, 杜学绘, 夏春涛. 基于聚类分析的客体聚合信息级别推演方法[J]. 电子与信息学报, 2012, 34(6): 1432-1437.
Cao Li-Feng, Chen Xing-Yuan, Du Xue-Hui, Xia Chun-Tao. A Level Inference Method for Aggregated Information of Objects Based on Clustering Analysis. , 2012, 34(6): 1432-1437.