Heterogeneity Quantization Method of Cyberspace Security System Based on Dissimilar Redundancy Structure

Abstract

The Dissimilar Redundancy Structure (DRS) based cyberspace security technology is an active defense technology, which uses features such as dissimilarity and redundancy to block or disrupt network attacks to improve system reliability and security. By analyzing how heterogeneity can improve the security of the system, the importance of quantification of heterogeneity is pointed out and the heterogeneity of DRS is defined as the complexity and disparity of its execution set. A new method which is suitable for quantitative heterogeneity is also proposed. The experimental results show that this method can divide 10 execution sets into 9 categories, while the Shannon-Wiener index, Simpson index and Pielou index can only divide into 4 categories. This paper provides a new method to quantify the heterogeneity of DRS in theory, and provides guidance for engineering DRS systems.