3-LQP-ARJCS 20250630000000 Lumina Quest Publishing m.arslansohail@gmail.com Lumina Quest Publishing Advanced Research Journal of Computer Science Adv. Res. J. Comput. Sci. 3134-884X 10.66590/arjcs https://lquestpub.com/archives.php?journal=advanced-research-journal-of-computer-science 06 30 2025 06 30 2025 2 1 10.66590/arjcs20250101 https://lquestpub.com/articles-list.php?journal=advanced-research-journal-of-computer-science&volume=2&issue=1 Enhancing Network Security Using NIPS and Honeypot with Telegram-Based Alert System: A Case Study of Diskominfo Serang City Yudiansywh Fauzi Fauzi Rustam D.M. Sueko The increasing number of external cyber threats faced by the Serang City Communication and Information Technology Office is not proportional to the availability of network security infrastructure. Since its establishment in 2017, the office has relied on only one network security device, FortiGate, to protect its computer network. To address this limitation, this study proposes the implementation of a Network Intrusion Prevention System (NIPS) capable of detecting and blocking external attacks in real time. In addition, a high-interaction honeypot model was selected to observe attacker movement and behavior, particularly under high external traffic conditions. To ensure timely delivery of security updates and system development information to users, this research integrates Telegram Bot API, enabling automated notifications and monitoring through the Telegram application. The questionnaire-based beta testing results showed positive user responses, indicating the practicality and usefulness of the proposed system. Furthermore, alpha testing and implementation reports demonstrated that the NIPS and honeypot systems successfully operated across multiple test scenarios. Overall, the implementation of a mobile monitoring system combined with NIPS and honeypot deployment in the Serang City Diskominfo network can serve as an effective alternative network security solution, while also providing valuable information regarding attackers’ behavior and intrusion patterns. 06 30 2025 06 30 2025 14 22 10.66590/arjcs2025010103 https://lquestpub.com/article/10.66590/arjcs2025010103