Deployment of Snort Intrusion Detection System on Usmanu Danfodiyo University Network
Muazu D. Sifawa, Bello Alhaji Buhari, Lawal Sulaiman · International Journal of Advanced Networking and Applications · 2022
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 system 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 system 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 Snortids system is able to detect suspicious trafficby 97%.