An intelligent network security system

dc.contributor.author Birungi, Gavin
dc.contributor.author Muhumuza, Solomon
dc.contributor.author Murungi, N. Ronald
dc.contributor.author Muhumuza, Rogers
dc.contributor.author Twijukye, Bruce
dc.contributor.author Akiru, Lydia Brenda
dc.contributor.author Kiconco, Salome
dc.contributor.author Kabarungi, Grace J.
dc.date.accessioned 2012-04-03T11:09:08Z
dc.date.available 2012-04-03T11:09:08Z
dc.date.issued 2007-06
dc.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 en_US
dc.description.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. en_US
dc.identifier.uri http://hdl.handle.net/10570/510
dc.language.iso en en_US
dc.subject Databases en_US
dc.subject Computer systems en_US
dc.subject Database security en_US
dc.subject Computer security en_US
dc.subject Intrusion detection en_US
dc.subject Computer networks en_US
dc.subject Snort en_US
dc.subject MySQL en_US
dc.title An intelligent network security system en_US
dc.type Thesis, undergraduate en_US
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