應用檢索增強生成技術於資安事件調查 - 以資安洩漏事件為例

Sheng-Shan Chen

Sheng-Shan Chen (陳勝舢), a Ph.D. student in Computer Science and Information Engineering (CSIE) at the National Taipei University of Technology (NTUT). His research focuses primarily on applying artificial intelligence in cybersecurity, includes utilizing Large Language Models (LLMs) to analyze and extract threat entities and relationships from Cyber Threat Intelligence (CTI). Additionally, he is interested in fine-tuning large language models to address natural language processing challenges within the CTI. Sheng-Shan currently serves as an intern security researcher at Cycraft. His research has been published at the IEEE Globecom, ICMHI, IEA/AIE, and HITCON Hacking 101 conferences. Furthermore, Sheng-shan always shares his knowledge on https://sectools.tw.

Andy Yao

Loving dogs more than cats.