Term 252

Automated Network Monitoring and Alerting Systems

Project Type: Self-Initiated

Project Description

This project delivers an AI- powered Network Monitoring System (NMS) that monitors real Networks using SNMP, Syslog, NetFlow, and a Random Forest AI model to automatically detect and classify network attacks including DDoS, port scans, brute force, and privilege escalation with 99.98% accuracy.


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Project Team

Hussain Majed Bin Hashim
Hussain Majed Bin Hashim
ICS
Mohammad Awad Alharthy
Mohammad Awad Alharthy
ICS
Kureym Bader Alzarea
Kureym Bader Alzarea
COE
Abdalrhman Mohamad Owaida
Abdalrhman Mohamad Owaida
COE
Abdulaziz Essa Hakami
Abdulaziz Essa Hakami
ICS
Abdel Rahman Naser Isleem
Abdel Rahman Naser Isleem
ISE

Team Coach

Dr. Uthman Baroudi
Dr. Uthman Baroudi
Associate Professor

Department of Computer Engineering

Interdisciplinary Research Center for Intelligent Secure Systems