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
ICS
Mohammad Awad Alharthy
ICS
Kureym Bader Alzarea
COE
Abdalrhman Mohamad Owaida
COE
Abdulaziz Essa Hakami
ICS
Abdel Rahman Naser Isleem
ISETeam Coach
Dr. Uthman Baroudi
Associate ProfessorDepartment of Computer Engineering
Interdisciplinary Research Center for Intelligent Secure Systems