Beer Sheva, Israel

Pavel Ferencz

USPTO Granted Patents = 5 

Average Co-Inventor Count = 8.0

ph-index = 3

Forward Citations = 42(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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5 patents (USPTO):Explore Patents

Title: Innovations by Pavel Ferencz

Introduction

Pavel Ferencz is a notable inventor based in Beer Sheva, Israel. He has made significant contributions to the field of executable code detection and malware analysis. With a total of 5 patents to his name, Ferencz is recognized for his innovative approaches to cybersecurity.

Latest Patents

Among his latest patents, Ferencz has developed systems and methods for executable code detection, automatic feature extraction, and position-independent code detection. These innovations enable the automatic detection of executable code from a stream of bytes, including those sourced from hidden areas of files that traditional malware detection solutions often overlook. In some embodiments, a machine learning model is trained to determine whether a specific stream of bytes is executable code. Additionally, his work includes systems and methods for automatic feature extraction using a neural network, which preprocesses code for input into a trained model. This neural network serves as a 'feature generator' for malware detection models, enhancing their effectiveness.

Career Highlights

Ferencz is currently employed at Sentinel Labs Israel Ltd., where he continues to push the boundaries of cybersecurity technology. His work is instrumental in developing advanced solutions that address the evolving challenges in malware detection and prevention.

Collaborations

Some of his notable coworkers include Shlomi Salem and Roy Ronen, who contribute to the innovative environment at Sentinel Labs Israel Ltd.

Conclusion

Pavel Ferencz's contributions to the field of cybersecurity through his patents and work at Sentinel Labs Israel Ltd. highlight his role as a leading inventor in executable code detection and malware analysis. His innovative systems and methods are paving the way for more effective cybersecurity solutions.

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