International Research Journal of Education and Technology

The rapid digitization of organizational infrastructure has significantly increased dependence on networked systems, thereby expanding the attack surface for cyber threats. Modern cyberattacks are dynamic, automated, and highly sophisticated, requiring intelligent monitoring mechanisms beyond traditional firewalls and antivirus software. This research proposes IntelliNet Security Monitor (ISM), a comprehensive, scalable, and intelligent network security monitoring framework designed to detect, analyze, classify, and respond to cyber threats in real time. The system integrates packet inspection, statistical anomaly detection, signature-based intrusion detection, centralized logging, role-based administrative control, automated response mechanisms, and reporting modules. The framework enhances threat visibility, reduces incident response time, improves forensic tracking, and ensures proactive defense. Performance evaluation under simulated attack scenarios demonstrates high detection efficiency and reduced false positive rates. The proposed model provides a foundation for next- generation intelligent cybersecurity infrastructure. The implementation demonstrates improved detection accuracy, faster response time, enhanced network visibility, and efficient forensic tracking. The IntelliNet Security Monitor provides a scalable and adaptable solution suitable for academic institutions, corporate networks, and enterprise environments.