自由环境下网络数据采集与分析

以小波分析的原理与算法为基础提出一种新的自由环境下网络数据采集与分析方法,使用这种方法可以监测网络的状态、数据流动情况以及网络上传递的信息。当信息以数据流的形式在网络上传输时,在互联网的入口处设置监测系统,便可以源源不断地将网上传输的信息截获。通过该监控技术可以任意采集和分析因特网上的各种信息,如网页访问http,电子邮件email,Telnet,Ftp等,以及这些信息中的用户名和密码,并对采集到的数据进行分析和还原。一旦发现有黑客行为、恐怖分子信息、邪教信息、反民族信息等非法信息,技术系统会自动捕获,并将有关的信息(包括:非法信息来源的IP地址、目的地址等)发送至监控中心,监控中心根据需要可通过功能设定,对非法可疑的IP地址锁定实施24小时自动跟踪。从而及时发现网络犯罪,保护网络与信息安全。

Data Mining and Analysis in Free Internet Environment Based on Wavelet Transform

A new method for data mining and analysis in free Internet environment based on wavelet transform algorithms is proposed in this paper. The new method can be used in inspecting network status, data flowing instance and transferring information in Internet. When data stream of information is transferring in Internet, the supervising system (based on the new method) is intercalated at the entry of Internet, any information such as http, email, telnet, ftp, user name and password from Internet can be gotten by the system. The information from data mining can be analyzed and reverted. The new method and its technology system can capture automatically un -law information such as Hick action, terrorist action, evil information. These information such as un - law IP address and target address can be sent to the supervising center, and the supervising center can lock up and track the distrustful un - law IP address. So we can discover Internet misdeed and keep the network in safe status.