Joshua Lederman

Title: Innovations of Joshua Lederman

Introduction

Joshua Lederman is an accomplished inventor based in Princeton, NJ (US). He has made significant contributions to the field of real-time RF fingerprinting. His innovative work has led to the development of a unique system and method that enhances the accuracy of device identification.

Latest Patents

Joshua Lederman holds a patent for a "System and method for real-time RF fingerprinting." This patent describes a system that includes obtaining residual data from each transmission through preprocessing. It processes the residual data using a photonic hardware-compatible continuous-time recurrent neural network (CTRNN) model to correlate temporal information and generate informative features. The system classifies the residual data based on these features using a convolutional neural network (CNN) model. The CNN model is designed to convolute the generated informative features and utilizes a max-pooling layer to select maximum values from the output. This innovative approach allows for accurate predictions regarding the devices from which the data was transmitted.

Career Highlights

Joshua Lederman is affiliated with Princeton University, where he continues to advance his research and development efforts. His work in the field of RF fingerprinting showcases his commitment to innovation and technology.

Collaborations

Joshua collaborates with Hsuan-Tung Peng, contributing to the advancement of their shared research interests.

Conclusion

Joshua Lederman's contributions to real-time RF fingerprinting exemplify the spirit of innovation in technology. His patent and ongoing work at Princeton University highlight his role as a leading inventor in this field.