Song Luo

Title: Song Luo - Innovator in Deep Learning and Domain Detection

Introduction

Song Luo is a notable inventor based in Potomac, MD (US). He has made significant contributions to the field of deep learning, particularly in the detection of dictionary domain generation algorithm (DGA) domain names. With a total of 2 patents, his work is at the forefront of technological advancements in cybersecurity.

Latest Patents

One of Song Luo's latest patents is the "Dictionary DGA detector model." This innovative system provides methods for detecting DGA domain names using deep learning models. The technology involves training and applying a model that includes a long short-term memory network, a convolutional neural network, and a feed-forward neural network. The system accepts input from both the long short-term memory network and the convolutional neural network. It ultimately provides a score indicating the likelihood that a domain name was generated using a dictionary DGA. This system can be offered as a service, enhancing its accessibility and utility.

Career Highlights

Song Luo is currently employed at Capital One Services, LLC, where he applies his expertise in deep learning and cybersecurity. His role involves developing advanced systems that contribute to the company's innovative solutions in financial technology.

Collaborations

Some of his notable coworkers include Kate Highnam and Domenic Puzio, who collaborate with him on various projects within the company.

Conclusion

Song Luo's contributions to the field of deep learning and domain detection exemplify the impact of innovation in technology. His work not only enhances cybersecurity measures but also showcases the potential of deep learning applications in various industries.