Combination Model of Heterogeneous Data for Security Measurement

Xiuze Dong (Beijing Electronic Science and Technology Institute, China)

Yunchuan Guo (CAS, China)

Fenghua Li (CAS, China)

Liju Dong (University of Wollongong, Australia)

Arshad Khan (Auckland University of Technology, New Zealand)

Abstract: Measuring security is a core step for guaranteeing security of network and information systems. Due to massiveness and heterogeneity of measurement data, it is difficult to classify and combine them on demand. In this paper, considering implication relationship of metrics, we propose a combination model and combination policy for security measurement. Several examples demonstrate the effectiveness of our model.

Keywords: data combination, heterogeneous data, security measurement

Categories: E.2, H.2.1, H.2.5