Computer Anomaly Detection Based on the Moving Averages of the Power Series Distributed Random Sequence

摘要：

　　In order to quickly determine the distribution of anomaly detection model based on small amounts of collected data,the moving relative entropy density deviation method(MREDD)is introduced to test the power series distributed random sequence.Through the moving averages of data analysis and comparison,the anomaly detection models can quickly be established.Experimental results show that this method can be used not only to adaptively choose from the negative binomial model,the binomial distribution model and the Poisson distribution model,but also to reduce the false alarm rate.

关键词： moving average moving relative entropy density deviation distribution of power series anomaly detection

作者: Deqiang Chen

作者单位: Department of Information Science and Technology East China University of Political Science and Law Shanghai,China

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 320-324

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）