https://bluemartinpress.com/ojs/index.php/jhct <p><strong>Journal of High-Frequency Communication Technologies (EISSN:2836-9009)</strong> offers a platform for disseminating original and significant research and development activities directed towards the increasingly significant field of communication technology at microwave, millimetre wave and Terahertz frequencies. The journal is available for researchers to publish and read articles that are available to all for free of cost. Research contributions are invited from global academic institutions and organisations.</p> BLUE MARTIN PRESS LLC en-US Journal of High-Frequency Communication Technologies 2836-9009 <p>Articles publishsed in this journal are licensed under a Creative Commons Attribution 4.0 License(CC BY 4.0).<br />For more information, see https://creativecommons.org/licenses/by/4.0/</p> https://bluemartinpress.com/ojs/index.php/jhct/article/view/70 <p><strong>Strong security solutions are becoming crucial, especially in academic and institutional </strong><strong>networks, due to the increasing frequency and sophistication of cyberattacks. This research </strong><strong>is the implementation of the Snort Network Intrusion Detection System (NIDS) on the Local </strong><strong>Area Network (LAN) segment. Its main goal is to create a system that can monitor, identify </strong><strong>and notify network managers of any security risks within the LAN. The study entails setting </strong><strong>up Snort on a server connected to the LAN network for the identification of malicious activity </strong><strong>and other intrusion attempts. The use of the Snort tool to improve network security is </strong><strong>demonstrated when properly configured. The results showed the Snort-ids system recording </strong><strong>106 TCP, 0 UDP, and 271 ICMP alerts. So, Snort can assist safeguarding the LAN’s network </strong><strong>architecture from both internal and external threats through the offer of real-time monitoring </strong><strong>and alarms. The results of the system evaluation showed a false positive rate of 13.23% and </strong><strong>a false negative rate of 86.7%.</strong></p> Bello Alhaji Buhari Ismail Idris Sirajo Shehu Hauwau Jibril Hajara Abdulkadir Abdullahi Malam Abubakar Jude Oguejiofor Nwoji Copyright (c) 2025 Bello Alhaji Buhari, Ismail Idris, Sirajo Shehu, Hauwau Jibril, Hajara Abdulkadir, Abdullahi Malam Abubakar, Jude Oguejiofor Nwoji https://creativecommons.org/licenses/by/4.0 2025-04-01 2025-04-01 3 02 271 285 10.58399/XGCB1475