JUCS - Journal of Universal Computer Science 25(3): 270-281, doi: 10.3217/jucs-025-03-0270
Combination Model of Heterogeneous Data for Security Measurement
Xiuze Dong‡, Yunchuan Guo§, Fenghua Li§, Liju Dong|, Arshad Khan¶‡ Beijing Electronic Science and Technology Institute, Beijing, China§ CAS, Beijing, China| University of Wollongong, Wollongong, Australia¶ Auckland University of Technology, Auckland, New Zealand
Corresponding author: Xiuze Dong ( dongxz@besti.edu.cn ) © Xiuze Dong, Yunchuan Guo, Fenghua Li, Liju Dong, Arshad Khan. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-ND 4.0). This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. Citation:
Dong X, Guo Y, Li F, Dong L, Khan A (2019) Combination Model of Heterogeneous Data for Security Measurement. JUCS - Journal of Universal Computer Science 25(3): 270-281. https://doi.org/10.3217/jucs-025-03-0270 |  |
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
security measurement, data combination, heterogeneous data