Intrusion Detection System, Snort-IDS, Demilitarized Zone, Detection Rate. The increasingly frequent attacks on Internet visible systems are attempts to breach or compromise the security of those systems. Network security issues have been a major challenge on Usmanu Danfodiyo University networks for a long time. Intrusion detection technology allows organizations to protect themselves from losses associated with network security challenges. The aim and objectives of this project is to deploy and evaluate the performance of SNORT-IDS in safeguarding demilitarize zone network segment of Usmanu Danfodiyo University. SNORT-IDS were implemented using some various tools such as Snort Application, Pulledpork, Barnyard, Apache, MySQL, PHP, BASE, and ADODB. The result obtained from the system evaluation indicates that Snort-ids system is able to detect attack at the rate of 96.24%.