期刊名称:International Journal of Future Generation Communication and Networking
印刷版ISSN:2233-7857
出版年度:2016
卷号:9
期号:8
页码:141-148
出版社:SERSC
摘要: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%.
关键词:Complex network; Detection; Density clustering; clustering; ;coarse ;granularity