A Novel IDS Model based on a Bayesian Fusion Approach

摘要：

A novel IDS model based on Bayesian fusion approach is studied in this paper. The model comprises several parts such as the pixel level fusion, feature level fusion, decision-making level fusion and so on. Experiments show that the model could result in a better recognition of attacks through processing procedures including noise reduction, feature extraction, inference and decision-making.

关键词： Bayesian networks Information fusion IDS

作者: XU Ye ZHANG Wen-bo

作者单位: College of Information Science and Engineering, Shenyang Ligong University Shenyang, China

会议类型: 国际会议

会议名称: The First International Conference on Multimedia Information Networking and Security(第一届国际多媒体网络信息安全会议 MINES 2009)

会议地点: 武汉

会议语种:英文

页码: 1228-1231

在线出版日期: 2009-11-18（万方平台首次上网日期，不代表论文的发表时间）