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Graduate Projects


Project ID: 341
Author: Rini M Bandela
Project Title: Intrusion Detection System Using Artificial Intelligence Techniques
Semester: 3 2010
Committe Chair: Dr. Mario Garcia
Committee Member 1: Dr. Hongyu Guo
Committee Member 2: Dr. David Thomas
Project Description: Organizations require security systems that are flexible and adaptable in order to combat increasing threats from virus attacks and other malicious code, in addition to internal attacks. Intrusion Detection Systems are increasingly a key part of systems defense. Artificial intelligence plays a driving role in security services. Monitoring of network involves collections of information on every connection and analysis of traffic monitors what services are spread throughout the network and its comparison with the desired and expected activity. Following these two practices recognizes services which are unauthorized and being used within any network. This project emphasizes on traffic and network analysis and applying snort rules to the analyzed traffic to detect threats within the network.
Project URL:   341.pdf