This inventor holds 1 USPTO granted patent. Top assignee: Hubei University. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Zhen Cheng - Innovator in Intrusion Detection Technology
Introduction
Zhen Cheng is a prominent inventor based in Wuhan, China. He has made significant contributions to the field of intrusion detection through his innovative methods and algorithms. His work focuses on enhancing the accuracy and efficiency of detecting intrusions in various systems.
Latest Patents
Zhen Cheng holds a patent for an "Intrusion detection method based on improved immune network algorithm, and application thereof." This patent presents a novel approach to intrusion detection, which includes several key steps. The method begins with initializing an antibody group, followed by calculating affinities between antigens and antibodies. It then involves searching for pairs of inhomogeneous antigens with the highest affinities, determining boundary and neighbor antibody sets, and updating the subnetwork based on affinities. The process culminates in inhibiting and simplifying the network to produce a result network subset. This solution boasts relatively high detection accuracy and a low false alarm rate, making it a valuable advancement in the field.
Career Highlights
Zhen Cheng is affiliated with Hubei University, where he continues to engage in research and development in the area of intrusion detection. His work has garnered attention for its innovative approach and practical applications in cybersecurity.
Collaborations
Zhen Cheng collaborates with notable colleagues, including Chao Yang and Beijun Li. Their combined expertise contributes to the advancement of research in intrusion detection technologies.
Conclusion
Zhen Cheng's contributions to the field of intrusion detection through his patented methods highlight his role as an influential inventor. His innovative approach not only enhances detection accuracy but also reduces false alarm rates, marking a significant step forward in cybersecurity.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
