Feng Zeng

Title: Innovations of Feng Zeng in Real-Time Detection Technology

Introduction

Feng Zeng is a notable inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in the area of domain name detection. His innovative approach utilizes advanced deep learning techniques to enhance the efficiency and accuracy of detecting DGA (Domain Generation Algorithm) domain names.

Latest Patents

Feng Zeng holds a patent for a "Real-time detection method and apparatus for DGA domain name." This invention involves translating an original domain name into a multi-dimensional numeric vector. The vector is then input into a deep learning model that has been pre-trained using an ImageNet data set. This process generates a domain name feature, which is used to train a domain name classifier. The classifier is capable of classifying and predicting DGA domain names effectively. This method leverages deep learning from the field of visual image classification, allowing for real-time detection without the need for intensive training and parameter adjustments. As a result, the detection rate is significantly improved, and the speed of detection is enhanced.

Career Highlights

Feng Zeng is currently employed at Han Si an Xin (Beijing) Software Technology Co., Ltd. His work at this company focuses on developing innovative software solutions that address contemporary challenges in technology. His expertise in deep learning and domain name detection has positioned him as a key player in his field.

Collaborations

Feng Zeng collaborates with talented individuals such as Shuo Chang and Xiaochuan Wan. Together, they contribute to advancing technology and developing solutions that meet the demands of the digital landscape.

Conclusion

Feng Zeng's innovative work in real-time detection methods showcases his commitment to enhancing technology through deep learning. His contributions are paving the way for more efficient domain name detection solutions.