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Deployment of Snort Intrusion Detection System on Usmanu Danfodiyo University Network


Affiliations
1 Management Information SystemDepartment, UsmanuDanfodiyo University , Sokoto, Nigeria
2 Department of Computer Science, Usmanu Danfodiyo University, Sokoto, Nigeria
 

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%.

Keywords

Intrusion detection system, Snort, Network Security, University, Usmanu Danfodiyo University
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  • Deployment of Snort Intrusion Detection System on Usmanu Danfodiyo University Network

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Authors

Muazu Dalhatu Sifawa
Management Information SystemDepartment, UsmanuDanfodiyo University , Sokoto, Nigeria
Bello Alhaji Buhari
Department of Computer Science, Usmanu Danfodiyo University, Sokoto, Nigeria
Lawal Sulaiman
Department of Computer Science, Usmanu Danfodiyo University, Sokoto, Nigeria

Abstract


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%.

Keywords


Intrusion detection system, Snort, Network Security, University, Usmanu Danfodiyo University

References