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Graduate Projects - Details

Computer Science Program

Project ID: 385
Author: Anusha Gollapudi
Project Title: Web Log Analyzer
Semester: 1 2011
Committe Chair: Dr. Mario Garcia
Committee Member 1: Dr. Long Zhuang Li
Committee Member 2: Dr. David Thomas
Project Description: Securing the networks is a very difficult task to achieve presently. There can be several attacks from various sources. Defective hardware, software with errors, uncertain snooping, and malicious attacks could be a few of the reasons. It is mandatory to provide protection to secure the network. One method of defending the network is to analyze its logs to detect any mistrustful actions. But, the large volumes of the traffic on the networks make the analysis very difficult. The method of pattern-matching is followed for intrusion detection which makes it even more difficult because the patterns cannot be updated as quickly as needed. This project proposes an analyzer which is very fast and efficient log analyzer used for tracking all the actions that takes place on network.
Project URL:   385.pdf
 
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