ITSAFE originally served as the foundation of the team, operating through a Naver Café community focused on cybersecurity knowledge sharing, theoretical study, and practical learning support. The team was also actively involved in university club activities, helping students build fundamental skills in systems, networking, and security engineering. Through consistent content creation, community management, and hands-on learning initiatives, ITSAFE strengthened the academic and practical groundwork that later enabled more advanced project collaborations. 

DeepSecu, on the other hand, functioned as a university capstone project team composed of two specialized groups: an AI research team and a network security team. By combining machine learning with network intrusion detection techniques, DeepSecu developed an AI-based Intrusion Detection System capable of automated log analysis and real-time threat classification. This integrated system earned the Grand Prize in the engineering division of the university’s senior capstone competition, demonstrating both technical depth and effective team collaboration.

Together, ITSAFE and DeepSecu represent the technical diversity and collaborative spirit that define JSYCUE. Their achievements form the foundation of the team’s current direction—advancing AI-driven security research, developing practical defensive systems, and cultivating a strong knowledge-sharing community.