Jan Kadel

Title: Jan Kadel - Innovator in Web Bot Detection

Introduction

Jan Kadel is a prominent inventor based in Hamburg, Germany. He has made significant contributions to the field of technology, particularly in the area of web bot detection. His innovative approach combines behavioral analysis and machine learning to enhance the security of network interactions.

Latest Patents

Jan Kadel holds a patent for "Web bot detection via behavioral analysis and machine learning." This patent outlines techniques for detecting web bots by analyzing the behaviors of client agents during network interactions. The method involves a processing device that receives indications of these interactions, allowing for the classification of client agents. A heuristics module and a trained adversarial neural network work together to classify the client agent as belonging to an unknown class. The processing device then generates a graph representation of the interaction, which is analyzed by a trained graph convolutional neural network to classify the client agent as a bot. Based on this classification, the device executes commands to implement countermeasures against bots and generates notifications regarding the behaviors observed.

Career Highlights

Jan Kadel is currently employed at Adobe, Inc., where he continues to develop innovative solutions in technology. His work focuses on enhancing the security and efficiency of web interactions through advanced detection techniques.

Collaborations

Jan collaborates with Ritwik Sinha, a fellow innovator at Adobe, to further advance their research and development efforts in the field of web security.

Conclusion

Jan Kadel's contributions to web bot detection through his patent and work at Adobe highlight his role as a key innovator in the technology sector. His techniques are paving the way for more secure online interactions.