This inventor holds 1 USPTO granted patent. Top assignee: Dbappsecurity Co., Ltd. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations of Fan Mo in Weak Password Detection
Introduction
Fan Mo is an accomplished inventor based in Hangzhou, China. He has made significant contributions to the field of cybersecurity, particularly in the area of password security. His innovative work focuses on enhancing the detection of weak passwords through advanced technology.
Latest Patents
Fan Mo holds a patent for a "Weak password detection method and device based on deep learning, and electronic device." This invention provides a method that includes acquiring a password character string to be detected. It processes the password character string using a fully trained weak password detection model to classify it as strong or weak. The model is trained with a deep learning approach, utilizing password character strings as input and corresponding classification labels as supervision. If the classification label indicates a weak password, the method marks the password character string accordingly.
Career Highlights
Fan Mo is currently employed at Dbappsecurity Co., Ltd., where he continues to develop innovative solutions in cybersecurity. His work is pivotal in addressing the growing concerns surrounding password vulnerabilities in digital systems.
Collaborations
He collaborates with talented coworkers, including Chenyue Yu and Yuan Fan, who contribute to the research and development efforts at Dbappsecurity Co., Ltd.
Conclusion
Fan Mo's contributions to weak password detection through deep learning exemplify the importance of innovation in cybersecurity. His work not only enhances security measures but also sets a precedent for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile