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The project idea is: Analyze Snort or PCAP data from a public WIFI hotspot (describe traffice seen and what it is, protocols, ports, etc).
This is what is expected. Initially runt the PCAP data into snort. Analyze the results (how many alerts, what type of alerts) Further analyze each alert (if alerts are redundant you don't have to reanalyze) to determine if it is a false positive or a real attack detected. If real why. List what resources you used to come up with that determination. Also to help with analysis you can send the same PCAP file to Netwitness to get another view...for instance what was the bad client doing 1-2 minutes BEFORE the alert went off? Is it related to the alert, can you map out a drive-by web attack for instance. Wireshark can also help in this space as SNORT will only tell you bad things...and not always the root CAUSE of the alert. Documenting the analysis and outcomes of alerts should reach the paper minimums...
Anyway I went to Starbucks and I captured PCAP data from their public WIFI by using Wireshark, so you will work on it. I have uploaded it.
Then, you need to use Backtrack 4 to analyze this data and you will get 12unique alerts (I am going to show how to do this).
First step after start backtrack is the following:
Go to start menu in backtrack, choose Services , Snot then click on Setup and Initialise Snort
Then The following window will appear.
Normal 0 false false false EN-IN X-NONE X-NONE
Can you define CHAP?
Can I get help for data analysis on traffic congestion using GIS
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