Ihab Khoury

Title: Innovations of Ihab Khoury in Network Traffic Classification

Introduction

Ihab Khoury is an accomplished inventor based in Alboraya, Spain. He has made significant contributions to the field of network traffic classification, holding two patents that showcase his innovative approach to machine learning and data analysis.

Latest Patents

Khoury's latest patents focus on the machine-learned classification of network traffic. The first patent describes a method that involves receiving target input data, which includes keyword input data, and accessing processed network data organized into groups. Each group contains multiple URL data objects associated with an entity. The method generates a dynamic intent score for each group by extracting keywords from webpages linked to the URL data objects and comparing them with the target input data. This process allows for the ranking of groups based on their intent scores and the creation of a target account list. The second patent outlines a similar method for classifying network traffic, emphasizing the generation of comparison values for URL data objects and the ranking of groups based on dynamic intent scores.

Career Highlights

Ihab Khoury is currently employed at Intentsify, LLC, where he applies his expertise in machine learning and network analysis. His work has been instrumental in developing innovative solutions for understanding and classifying network traffic.

Collaborations

Khoury collaborates with notable colleagues, including Charles Ronald Allieri and Marco Lagi, who contribute to the innovative environment at Intentsify, LLC.

Conclusion

Ihab Khoury's contributions to network traffic classification through his patents reflect his commitment to advancing technology in this field. His innovative methods demonstrate the potential of machine learning in enhancing data analysis and classification processes.