Won Kyung Lee

Title: Innovations of Won Kyung Lee

Introduction

Won Kyung Lee is a notable inventor based in Seoul, South Korea. He has made significant contributions to the field of malware detection and classification systems. With a total of 3 patents, his work focuses on utilizing deep neural networks to enhance cybersecurity measures.

Latest Patents

One of his latest patents is an "Apparatus for generating a signature that reflects the similarity of a malware detection and classification system based on deep neural networks, method therefor, and computer-readable recording medium recorded with a program for performing the method." This invention includes a pre-processing unit that generates an input vector from input information, a classification unit that calculates a latent vector indicating the similarity between malware classifications and the input vector, and a signature generation unit that produces a binary vector signature of the malware.

Another significant patent is the "Apparatus for detecting variants of malicious code based on neural network learning, method therefor and computer-readable recording medium storing program for performing the method." This invention allows for the conversion of one-dimensional binary data into two-dimensional data without the need for separate feature extraction. It employs deep learning through a neural network to extract features of malicious code and its variants, significantly reducing analysis time and improving detection capabilities.

Career Highlights

Throughout his career, Won Kyung Lee has worked with several companies, including Estsecurity Corp. and Best Digital Co. Ltd. His experience in these organizations has contributed to his expertise in cybersecurity and innovation in malware detection technologies.

Collaborations

He has collaborated with notable coworkers such as Ui Jung Chung and Hyeong Jin Byeon, further enhancing his contributions to the field.

Conclusion

Won Kyung Lee's innovative work in malware detection and classification systems showcases his commitment to advancing cybersecurity through deep learning technologies. His patents reflect a significant step forward in the fight against malicious code.