Statistical Techniques For Detecting Traffic Anomalies Through Packet Header Data Project Source Code

Statistical techniques for detecting traffic anomalies through packet header data project description:

Statistical techniques for detecting traffic anomalies through packet header data project is 2008 cse project which is implemented in visual studio .net platform. In this project we propose three techniques, Traffic analysis at the source, general mechanism for detection and tracing packet. We use these techniques for detecting anomalies using the data shown in header.

In present scenario denial of service leads to implementing new methods for identifying the network traffic. In this paper we propose a effective traffic analysis tool which can detect traffic and take precautions before any packet gets attacked. Network traffic can be analyzed by using information of destination ip address in egress router.

Here you can download entire project report , source in java with traffic client and traffic server and database with reference documents.

download Statistical techniques for detecting traffic anomalies through packet header data project base paper pdf, source code in java and project report with ppt.