%0 Journal Article
%T Analysis of Network Traffic Based on Distributed Statistical Time Series<br>基于分布式统计时间序列的网络流量分析
%A MENG Fan-xue
%A LIU Yan-heng
%A WU Jing
%A YANG Shu-qi
%A <br>孟凡雪
%A 刘衍珩
%A 吴静
%A 杨书奇
%J 计算机科学
%D 2010
%I 
%X Studying relationship of distributed storage data would be conductive to the overall intrusion detection learning,thus this relationship could not only be used for intrusion detection learning algorithm,but also supervise to optimite data's storage. According to the analysis focused on relationship of network traffic in the distributed storage, a method based on distributed statistical time series was proposed. According to the relationship of network protocol, this method could group data packet, thus analyzed quantity relationship and gave alarm threshold. The experiment results show that the method can be used to detect network attacks.
%K Intrusion detection
%K Time series
%K Distributed statistical
%K Network traffic<br>入侵检测
%K 时间序列
%K 分布式统计
%K 网络流量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=33913CF94B139277DC652A808055A48D&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=DF92D298D3FF1E6E&sid=4DB1E72614E68564&eid=DDD31293A7C7D057&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=21