Deployment of Network Intrusion Detection System on a Local Area Network
Year: 2025
Type: article
Abstract: Strong security solutions are becoming crucial, especially in academic and institutional networks, due to the increasing frequency and sophistication of cyberattacks. This research is the implementation of the Snort Network Intrusion Detection System (NIDS) on the Local Area Network (LAN) segment. Its main goal is to create a system that can monitor, identify and notify network managers of any security risks within the LAN. The study entails setting up Snort on a server connected to the LAN network for the identification of malicious activity and other intrusion attempts. The use of the Snort tool to improve network security is demonstrated when properly configured. The results showed the Snort-ids system recording 106 TCP, 0 UDP, and 271 ICMP alerts. So, Snort can assist safeguarding the LAN’s network architecture from both internal and external threats through the offer of real-time monitoring and alarms. The results of the system evaluation showed a false positive rate of 13.23% and a false negative rate of 86.7%.
DOI: 10.58399/xgcb1475
Authors: Bello Alhaji Buhari, Ismail Idris, Sirajo Shehu, Hauwau Jibril, Hajara Abdulkadir, Abdullahi Malam Abubakar, Jude Oguejiofor Nwoji
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409017194