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For the Inventor, By the Inventor

Prague, Czechia

Martin Grill

USPTO Granted Patents = 22

 

Average Co-Inventor Count = 3.9

ph-index = 5

Forward Citations = 75(Granted Patents)


Location History:

  • Praha, CZ (2017 - 2018)
  • Pargaue, CZ (2021)
  • Prague, CZ (2017 - 2024)

Company Filing History:

goldMedal22 out of 20,333 
 
Cisco Technology, Inc.
 patents

Years Active: 2017-2025

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22 patents (USPTO):Explore Patents
1. 12438892 - Correlating endpoint and network views to identify evasive applications (2025-10-07),
2. 11936683 - Analyzing encrypted traffic behavior using contextual traffic data (2024-03-19),
3. 11909760 - Malware classification and attribution through server fingerprinting using server certificate data (2024-02-20),
4. 11539721 - Correlating endpoint and network views to identify evasive applications (2022-12-27),
5. 11451578 - Analyzing encrypted traffic behavior using contextual traffic data (2022-09-20),
6. 11108810 - Malware classification and attribution through server fingerprinting using server certificate data (2021-08-31),
7. 11019095 - Ransomware detection using file replication logs (2021-05-25),
8. 10979451 - Autonomous domain generation algorithm (DGA) detector (2021-04-13),
9. 10965704 - Identifying self-signed certificates using HTTP access logs for malware detection (2021-03-30),
10. 10855698 - Leveraging endpoint and network environment inferences for malware traffic classification (2020-12-01),
11. 10805377 - Client device tracking (2020-10-13),
12. 10805338 - Analyzing encrypted traffic behavior using contextual traffic data (2020-10-13),
13. 10749770 - Classification of IoT devices based on their network traffic (2020-08-18),
14. 10735441 - Correlating endpoint and network views to identify evasive applications (2020-08-04),
15. 10686831 - Malware classification and attribution through server fingerprinting using server certificate data (2020-06-16),

Title: Innovations by Martin Grill in Encrypted Traffic Analysis

Introduction

Martin Grill is an accomplished inventor based in Prague, Czech Republic, known for his significant contributions to the field of network security. With a total of 21 patents to his name, Grill specializes in innovations that enhance the analysis and classification of encrypted traffic, leveraging machine learning technologies.

Latest Patents

Among his latest inventions, Martin Grill has developed a patent for "Analyzing Encrypted Traffic Behavior Using Contextual Traffic Data." In this innovation, a device within a network detects an encrypted traffic flow linked to a client. The device captures contextual data from associated unencrypted packets and utilizes a machine learning-based classifier to assess the encrypted traffic flow. Based on this classification, the device can generate alerts, improving network security measures.

Another notable patent is for "Malware Classification and Attribution Through Server Fingerprinting Using Server Certificate Data," where the device analyzes certificate data linked to encrypted traffic. It evaluates data features and flow characteristics to classify applications running on client nodes. Following this classification, the device can initiate specific network actions, thus enhancing the detection of malicious activities.

Career Highlights

Martin Grill is affiliated with Cisco Technology, Inc., a leading company in networking hardware and cybersecurity solutions. His role at Cisco underscores his expertise in developing advanced technologies that bolster internet security and protect against cyber threats.

Collaborations

During his career, Grill has collaborated with talented peers such as Jan Kohout and Martin Kopp. Together, they work on groundbreaking projects that aim to redefine security protocols in network communications.

Conclusion

Martin Grill’s innovative patents demonstrate his commitment to advancing the understanding of encrypted traffic and enhancing network security. His work not only reflects his technical expertise but also contributes significantly to the overall safety and integrity of digital communications.

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