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Graduate Projects - Details

Computer Science Program

Project ID: 361
Author: Chaitanya Chinthireddy
Project Title: Using the JESS Expert system tool to implement an Online Intrusion Detection System based on Snort
Semester: 2 2011
Committe Chair: Dr. Mario Garcia
Committee Member 1: Dr. Longzhuang Li
Committee Member 2: Dr. David Thomas
Project Description: Security is one of the most important and inevitable modules in any modern world systems. Any security system should be able to find all the threats possible to a system and should be able to provide security and safety to the system which can vary from a small indication to quarantining all security threats found. This security can be against the intrusions in a network. To develop a system that provides this kind of security against the intrusions in a network through indication messages and also storing these indications in a database is the main theme of this project. This is done by implementing various signatures developed by Snort also known as Snort Rules in Java based software (JESS). Implementation in JESS gives the advantage of platform independency because of which this can be used on any system making it platform independent. Storage of the results or indications is enabled to do a detailed analysis and observations on the kind of attacks happening in the network offline also.
Project URL:   361.pdf
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