원문정보
초록
영어
In order to improve universality of detection effect of complex network covert channel, coarsening clustering of channel is achieved, based on clustering algorithm, with hierarchical clustering in this article, then recognition detection of two-stage channel refinement is carried out in coarsening clustering results of each layer based on density clustering. Clustering method of multilayer covert channel is designed based on density, the effectiveness of proposed method is verified by carrying out contrast experiment on density clustering method, entropy method and evaluation method; in the end, experiments of simulation example demonstrate that such algorithm is able to quickly and accurately detect covert channel of complex network when the noise is not higher than 20%.
목차
1. Introduction
2. Two-stage Clustering Detection
2.1. Multilayer Condensation of Coarsening
2.2. Clustering Detection of Density Refinement
3. Experiments and Analysis
3.1. Experimental Setup
3.2. Determination of Network Parameter
4. Conclusion
Acknowledgement
Reference