Saint-Lormel, France

Jocelyn Beauchesne

USPTO Granted Patents = 7 

Average Co-Inventor Count = 4.0

ph-index = 3

Forward Citations = 37(Granted Patents)


Location History:

  • Saint-Lormel, FR (2022 - 2024)
  • Saint-Lormal, FR (2024)

Company Filing History:


Years Active: 2022-2025

Loading Chart...
7 patents (USPTO):Explore Patents

Title: Innovations of Jocelyn Beauchesne

Introduction

Jocelyn Beauchesne is a notable inventor based in Saint-Lormel, France. He has made significant contributions to the field of anomaly detection in computer networks. With a total of seven patents to his name, Beauchesne's work focuses on utilizing machine learning techniques to enhance security measures in digital environments.

Latest Patents

One of his latest patents is titled "Automated generation of anomaly scenarios for testing machine learned anomaly detection models." This invention describes an anomaly detection system capable of reporting anomalous processes or hosts in a computer network. The system employs machine learning models trained using unsupervised techniques. It assigns observed processes to specific categories based on the file system path of the executed program. The system extracts feature vectors for each process or host from observation records and applies machine learning models to determine an outlier metric for each. Processes or hosts with the highest outlier metrics are reported as detected anomalies for further examination by security analysts. The models can be periodically retrained based on new observation records, allowing them to learn from newly observed data without requiring manual labeling.

Another significant patent by Beauchesne is "Identifying high-influence features for model-detected anomalies." This invention also focuses on an anomaly detection system that reports anomalous processes or hosts using machine learning models. Similar to his previous patent, it involves assigning observed processes to categories and extracting feature vectors. The system applies machine learning models to determine outlier metrics, reporting the highest metrics as detected anomalies for security analysts to investigate. The ability to retrain models based on new data enhances the system's effectiveness in identifying threats.

Career Highlights

Jocelyn Beauchesne is currently employed at Rapid7, Inc., a company known for its innovative security solutions. His work at Rapid7 has allowed him to develop and refine his inventions in the field of cybersecurity.

Collaborations

Beauchesne collaborates with talented individuals such as John Lim Oh and Vasudha Shivamoggi, who contribute to the advancement of their projects.

Conclusion

Jocelyn Beauchesne's contributions to anomaly detection through his innovative patents demonstrate his expertise in the field of cybersecurity. His work continues to influence the development of advanced security systems that protect computer networks from potential threats.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…