%0 Journal Article
%T Network traffic identification based on data finger-print<br>基于数据报指纹关系的未知协议识别与发现
%A SONG Jiang
%A ZHANG Chun-rui
%A ZHANG Nan
%A LI Fen
%A WU Yan-mei
%A <br>宋　疆
%A 张春瑞
%A 张　楠
%A 李　芬
%A 吴艳梅
%J 计算机应用研究
%D 2012
%I 
%X As all of the current communication protocols are unconventional dedicated unknown ones while existing of prevention measures mainly aiming at the known protocols and based on port mapping or static features matching, they are useless for the monitoring and detection of the theft channel. To ensure the security of the network as well as the early warning of attacks and harmful behavior, policy-makers urgently need to provide an efficient way to identify an unknown protocol under the current structure of the complex network environment. To solve these problems, this project would integrate the existing network security and data mining technology to design solutions discovering unknown protocols based on the datagram fingerprint relations, to meet the national cyber security and many other needs. In addition to a significant meaning on the protection of network security and macro warning area, it promoted and improved the capability of independent innovation of China's network security and other aspects of the key technologies at the same time.
%K wireless data acquisition
%K machine learning
%K frequent set
%K fingerprint characteristics<br>无线数据获取
%K 机器学习
%K 频繁集
%K 指纹特征
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=8D8174D12B4331BF9631106E20266A99&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=59906B3B2830C2C5&sid=050D4EFEF51DFF62&eid=BD67CE4AC54476EE&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15