Company Filing History:
Years Active: 2012
Title: Innovations of Yu-Jie Chen in Botnet Detection
Introduction
Yu-Jie Chen is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of cybersecurity, particularly in the detection of botnets. His innovative approach utilizes advanced algorithms to enhance the security of network systems.
Latest Patents
Yu-Jie Chen holds a patent for a system titled "Botnet early detection using hybrid hidden Markov model algorithm." This patent describes a botnet detection system that employs a bursty feature extractor to analyze Internet Relay Chat (IRC) packet values from a detection object network. The system determines bursty features and utilizes a Hybrid Hidden Markov Model (HHMM) to estimate probability parameters. A traffic profile generator establishes a probability sequential model based on these parameters, allowing for the detection of dubious traffic states. When a dubious state is identified, the system generates a warning signal to alert network administrators.
Career Highlights
Yu-Jie Chen is affiliated with National Taiwan University, where he continues to engage in research and development in the field of cybersecurity. His work has been instrumental in advancing techniques for early detection of botnet activities, contributing to safer online environments.
Collaborations
Some of his notable coworkers include Hahn-Ming Lee and Ching-Hao Mao. Their collaborative efforts have further enhanced the research and development of innovative solutions in cybersecurity.
Conclusion
Yu-Jie Chen's contributions to the field of botnet detection exemplify the importance of innovation in cybersecurity. His patented technology represents a significant advancement in protecting networks from malicious activities.