Investigation of a Multi Agent Intrusion Detection System for Campus Wireless Networks

Intrusion Detection Systems (IDS) are critical in safeguarding computer networks against unauthorized access, misuse, and abuse. While external threats are significant, internal attacks often present even greater risks within institutional environments. This study examines the development of a multi-agent-based IDS designed to strengthen the security of a university’s Wireless Local Area Network (WLAN). A proposed framework integrates intelligent agent technology with intrusion detection techniques to enable proactive analysis and adaptive response to potential threats. Data were collected through an online questionnaire and analyzed using Microsoft Excel to assess vulnerabilities and perceptions of IDS implementation. The findings indicate that IDS adoption enhances network security and substantially benefits students, particularly in supporting learning activities. Nonetheless, specific challenges remain about WLAN infrastructure. The study contributes valuable insights into IDS-based applications in academic settings and offers practical guidance for improving institutional cybersecurity.