Moshav Herut, Israel

Elad Israeli


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Elad Israeli: Innovator in Data Classification Technology

Introduction

Elad Israeli is a notable inventor based in Moshav Herut, Israel. He has made significant contributions to the field of data classification through his innovative patent. His work focuses on enhancing the understanding of data objects within communication networks.

Latest Patents

Elad Israeli holds a patent titled "Method and system for classifying data objects based on their network footprint." This invention provides a method for determining the type of an object distributed through a communication network. The method is implemented by one or more processing devices that are operatively coupled to a non-transitory storage device. The storage device contains modules of instruction code that, when executed, enable the processing devices to monitor object traffic through the communication network. The invention builds the objects' footprint, which is inferred from monitored traffic flows. The footprint is organized in a graph structure, where nodes represent source and target network addresses of the traffic flows. The nodes are connected if there is a traffic flow between the respective network addresses containing the object. The analysis of the object's footprint helps identify features and characteristics to determine the object's type.

Career Highlights

Elad Israeli is currently associated with Intelici Cyber Defense System Ltd., where he applies his expertise in data classification and network security. His innovative approach has positioned him as a valuable asset in the field of cybersecurity.

Collaborations

Elad has collaborated with notable professionals in his field, including Asaf Shabtai and Dror Levy. Their combined efforts contribute to advancing technology in data classification and cybersecurity.

Conclusion

Elad Israeli's work exemplifies the importance of innovation in data classification technology. His patent reflects a significant advancement in understanding network objects, which is crucial for enhancing cybersecurity measures.

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