Cybersecurity graduate from Tuntech University, interested in information security and network protection, and aiming to develop my skills and gain practical experience in this field.
A Cybersecurity student with a strong interest in network security and threat detection. Currently working on a graduation project focused on developing a Real-Time Network Intrusion Prevention System using machine learning techniques to enhance network protection and respond to threats instantly.
A Cybersecurity graduate from the International University of Technology Twintech (IUTT), class of 2026. Combines defensive expertise in Machine Learning-based Intrusion Detection and Prevention Systems (IDS/IPS) with offensive hands-on skills in penetration testing and vulnerability assessment. Participated in the development of the graduation project “Deep Sentinel,” a hybrid Real-Time Network Intrusion Prevention System (RT-NIPS) based on Decision Tree and Random Forest algorithms. Possesses extensive practical experience within the Kali Linux environment, including vulnerability scanning, ARP Spoofing, and utilizing frameworks such as Metasploit and Burp Suite for network and web application security assessment. Aspires to work in Vulnerability Analysis or Security Operations Centers (SOC), leveraging a comprehensive view of both offensive and defensive security.
A Cybersecurity graduate (Class of 2026) with a focus on identifying vulnerabilities and strengthening digital defenses. I have hands-on experience in malware analysis and incident response, complemented by a solid foundation in PHP programming and secure development practices.
Cybersecurity graduate, interested in system protection and information security, seeking to improve my skills and gain practical experience in the cybersecurity field.