Caen, France

Karel Mittig


 

Average Co-Inventor Count = 2.6

ph-index = 2

Forward Citations = 42(Granted Patents)


Company Filing History:


Years Active: 2009-2020

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6 patents (USPTO):Explore Patents

Title: Karel Mittig: Innovator in Network Security

Introduction

Karel Mittig is a notable inventor based in Caen, France. He has made significant contributions to the field of network security, holding a total of 6 patents. His work focuses on methods for detecting malware and anomalies in network traffic, showcasing his expertise in cybersecurity.

Latest Patents

One of Karel Mittig's latest patents is a "Method of aiding the detection of infection of a terminal by malware." This innovative method involves receiving a current request from a terminal seeking access to a network resource. It includes detecting whether the requested resource is malevolent and verifying previous legitimate requests to determine if the current request is an attempt to infect the terminal. Another significant patent is the "Method for detecting anomalies in network traffic." This invention outlines a process for identifying anomalies in network traffic transmitted by a server in response to client device requests. The method includes steps for receiving requests and responses, constructing bit vectors, and calculating similarity indices to detect anomalies.

Career Highlights

Karel Mittig has worked with prominent companies in the telecommunications sector, including Orange and France Telecom. His experience in these organizations has allowed him to develop and refine his innovative ideas in network security.

Collaborations

Throughout his career, Karel has collaborated with talented individuals such as Fabien Bignon and Sylvie Laniepce. These partnerships have contributed to the advancement of his inventions and the overall field of cybersecurity.

Conclusion

Karel Mittig is a distinguished inventor whose work in network security has led to valuable patents and innovations. His contributions continue to impact the industry positively, enhancing the detection and prevention of malware and network anomalies.

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