IDiyas

For the Inventor, By the Inventor

Rakovnik, Czechia

Jan Brabec

USPTO Granted Patents = 11 


Average Co-Inventor Count = 2.6

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Rakovnik, CZ (2019 - 2023)
  • Prague, CZ (2023)

Company Filing History:

goldMedal11 out of 20,333 
 
Cisco Technology, Inc.
 patents

Years Active: 2019-2025

Loading Chart...
Loading Chart...
11 patents (USPTO):Explore Patents
1. 12323446 - Multi-modal models for detecting malicious emails (2025-06-03),
2. 12160429 - Learning of malicious behavior vocabulary and threat detection through behavior matching (2024-12-03),
3. 11799904 - Malware detection using inverse imbalance subspace searching (2023-10-24),
4. 11750621 - Learning of malicious behavior vocabulary and threat detection through behavior matching (2023-09-05),
5. 11700234 - Email security based on display name and address (2023-07-11),
6. 11625640 - Distributed random forest training with a predictor trained to balance tasks (2023-04-11),
7. 11245675 - Device detection in network telemetry with TLS fingerprinting (2022-02-08),
8. 10885469 - Scalable training of random forests for high precise malware detection (2021-01-05),
9. 10728271 - Bayesian tree aggregation in decision forests to increase detection of rare malware (2020-07-28),
10. 10630709 - Assessing detectability of malware related traffic (2020-04-21),
11. 10356117 - Bayesian tree aggregation in decision forests to increase detection of rare malware (2019-07-16),

Title: Jan Brabec: Innovator in Cybersecurity Technologies

Introduction

Jan Brabec is a prominent inventor based in Rakovnik, Czech Republic. He has made significant contributions to the field of cybersecurity, particularly in the detection of malicious emails. With a total of 11 patents to his name, Brabec continues to push the boundaries of technology and innovation.

Latest Patents

Among his latest patents, Jan Brabec has developed a method for detecting malicious emails. This method involves receiving an email associated with a markup payload, determining text data from the email, and using machine learning models to create representations of the email. The process culminates in predicting whether the email is malicious based on these representations. Another notable patent focuses on learning malicious behavior vocabulary and threat detection through behavior matching. This invention utilizes a neural network-based model to identify known behaviors associated with input features, enhancing the detection of potential threats.

Career Highlights

Jan Brabec is currently employed at Cisco Technology, Inc., where he applies his expertise in cybersecurity. His work has been instrumental in developing advanced technologies that protect users from cyber threats. His innovative approach and dedication to research have established him as a key figure in the industry.

Collaborations

Jan collaborates with talented individuals such as Lukas Machlica and Martin Kopp. Together, they work on various projects that aim to enhance cybersecurity measures and improve the effectiveness of threat detection systems.

Conclusion

Jan Brabec's contributions to cybersecurity through his innovative patents and collaborative efforts highlight his importance in the field. His work continues to shape the future of technology and protect users from evolving cyber threats.

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