Statistical techniques for detecting traffic anomalies through packet header data project is cse project which is implemented in Visual Studio C#.Net platform.  

In this paper, we detect the traffic anomalies by monitoring the header data. Some attacks like denial of service led to developing the techniques for identifying the network traffic.

If we have the efficient analysis tool we could prevent the network from the traffic before it could get attacked.

Using the information of destination IP address at router we can analyze network traffic. Discrete wavelet is used in data transformation for detecting the traffic anomalies.

This system will provide effective method for finding out anomalies to the source. 

The multidimensional indicator is used to correlate port numbers and the flow of information through this ports and detect anomalies.

Statistical techniques for detecting traffic anomalies through packet header data visual c#.net project 2008 base paper, ppt, pdf and source code.