Dongsin University has once again proven its status as a next-generation leader in the security field, as its Department of Computer Science produced award-winning teams for the third consecutive year at the 3rd Jeollanam-do Web Vulnerability Contest and also received two Outstanding Paper Awards at the Korean Institute of Convergence Security Summer Conference.
HawkIS, the information security club of the Dongsin University Department of Computer Science, participated in both the 3rd Jeollanam-do Web Vulnerability Contest and the Korean Institute of Convergence Security Summer Conference, producing two teams that won Excellence Awards and one team that won an Encouragement Award.
The 3rd Jeollanam-do Web Vulnerability Contest is a security competition aimed at discovering future white-hat hackers. Dongsin University received Excellence Awards (the "WhoIsShinMinseong" team - Kim Yongjun, Kim Geobin, Shin Minseong; the "NotBadJo" team - Han Songbi, Lee Junghun, Nam Hyeonyeong) and an Encouragement Award (the "GeunchaniwaAideul" team - Yang Taegyu, Kim Yongchan, Jo Sigwon).
At the Korean Institute of Convergence Security Summer Conference, two teams under the guidance of Professor Kim Jongmin both received Outstanding Paper Awards, demonstrating their in-depth research capabilities.
Students Kim Yongchan, Jo Sigwon, and Kim Seonghyeon presented a paper titled "Proposal for an Integrated System Approach for Deepfake Detection," introducing a new detection model to counter deepfake technology, which causes social confusion and financial fraud. Their approach, which comprehensively analyzes the characteristics of generative models and subtle inconsistencies in data, was highly evaluated for proposing effective countermeasures against deepfake crimes.
Students Cha Myeongdo, Nam Hyeonyeong, and Han Songbi presented a paper titled "Threshold Setting for Hybrid Malicious URL Detection Systems," addressing technology to more accurately block malicious URLs, which are the main channels for phishing and smishing attacks. Their research identified the optimal threshold to minimize both false positives (legitimate URLs misclassified as malicious) and false negatives (malicious URLs misclassified as legitimate) in a hybrid system that combines traditional blacklist methods with AI-based behavioral analysis, earning recognition for its practical applicability in real-world settings.
Kim Jongmin, professor of computer science at Dongsin University, said, "Our department's greatest strength is the virtuous cycle in which students gain firsthand experience from practical competitions from the attacker's perspective, which then leads to research addressing future security threats such as deepfakes and advanced phishing. We will do our utmost to nurture talents equipped with both theoretical and practical expertise in the security field."
© The Asia Business Daily(www.asiae.co.kr). All rights reserved.
