An intelligent network security system
An intelligent network security system
Date
2007-06
Authors
Birungi, Gavin
Muhumuza, Solomon
Murungi, N. Ronald
Muhumuza, Rogers
Twijukye, Bruce
Akiru, Lydia Brenda
Kiconco, Salome
Kabarungi, Grace J.
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
This project describes an Intelligent Network Security System, which is an important defensive measure for protecting computer systems and networks from abuse. This project considers Snort as the de facto standard for intrusion detection/prevention in an organization’s overall security measures and provides guidelines for IDS deployment, operation, and maintenance. The System was developed using tools like Snort, MySQL database, Basic Analysis Security Engine (BASE), APACHE, PHPLOT and GD library. Snort has the capability to log intrusion data collected from the network traffic to a database. MySQL is used as the database engine where all of this data is stored. Using Apache web server and BASE; this data is analyzed and viewed. Therefore a combination of Snort, Apache, MySQL, and BASE makes it possible to log the intrusion detection data into a database, analyze and view it through a web interface.
Description
A project report submitted to the Faculty of Computing and Information Technology for the study leading to a project in partial fulfillment of the requirements for the award of the degree of Bachelor of Science in Computer Science of Makerere University
Keywords
Databases,
Computer systems,
Database security,
Computer security,
Intrusion detection,
Computer networks,
Snort,
MySQL