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dc.contributor.authorBirungi, Gavin
dc.contributor.authorMuhumuza, Solomon
dc.contributor.authorMurungi, N. Ronald
dc.contributor.authorMuhumuza, Rogers
dc.contributor.authorTwijukye, Bruce
dc.contributor.authorAkiru, Lydia Brenda
dc.contributor.authorKiconco, Salome
dc.contributor.authorKabarungi, Grace J.
dc.date.accessioned2012-04-03T11:09:08Z
dc.date.available2012-04-03T11:09:08Z
dc.date.issued2007-06
dc.identifier.urihttp://hdl.handle.net/10570/510
dc.descriptionA 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 Universityen_US
dc.description.abstractThis 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.language.isoenen_US
dc.subjectDatabasesen_US
dc.subjectComputer systemsen_US
dc.subjectDatabase securityen_US
dc.subjectComputer securityen_US
dc.subjectIntrusion detectionen_US
dc.subjectComputer networksen_US
dc.subjectSnorten_US
dc.subjectMySQLen_US
dc.titleAn intelligent network security systemen_US
dc.typeThesis, undergraduateen_US


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