Issued Patents All Time
Showing 51–75 of 84 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 11195120 | Detecting dataset poisoning attacks independent of a learning algorithm | David McGrew, Subharthi Paul | 2021-12-07 |
| 11165819 | Automatic retraining of machine learning models to detect DDoS attacks | K. Tirumaleswar Reddy, Daniel G. Wing, David McGrew | 2021-11-02 |
| 11140124 | Utilizing service tagging for encrypted flow classification | K. Tirumaleswar Reddy, David McGrew, Daniel G. Wing | 2021-10-05 |
| 11108810 | Malware classification and attribution through server fingerprinting using server certificate data | David McGrew, Subharthi Paul, Ivan Nikolaev, Martin Grill | 2021-08-31 |
| 11108819 | Privacy enhancing man-in-the-middle | David McGrew | 2021-08-31 |
| 11093609 | OS start event detection, OS fingerprinting, and device tracking using enhanced data features | David McGrew, Subharthi Paul | 2021-08-17 |
| 11075820 | Automatically detecting authorized remote administration sessions in a network monitoring system | David McGrew, Martin Rehak, Sunil Amin | 2021-07-27 |
| 11038893 | Validating a device class claim using machine learning | Brian Weis, Rashmikant B. Shah, David McGrew | 2021-06-15 |
| 11032314 | Triggering targeted scanning to detect rats and other malware | David McGrew, Julien Piet | 2021-06-08 |
| 11025654 | Machine learning-based traffic classification using compressed network telemetry data | David McGrew | 2021-06-01 |
| 10932017 | Network telemetry with byte distribution and cryptographic protocol data elements | David McGrew, Alison Kendler | 2021-02-23 |
| 10904275 | Leveraging synthetic traffic data samples for flow classifier training | David McGrew | 2021-01-26 |
| 10897474 | Adapting classifier parameters for improved network traffic classification using distinct private training data sets | David McGrew | 2021-01-19 |
| 10868834 | Detecting targeted data exfiltration in encrypted traffic | Chris Allen Shenefiel, David McGrew, Robert M. Waitman | 2020-12-15 |
| 10855698 | Leveraging endpoint and network environment inferences for malware traffic classification | Martin Rehak, David McGrew, Martin Vejman, Tomas Pevny, Martin Grill +1 more | 2020-12-01 |
| 10841164 | Online generation and updates of IoT mud policies | Panagiotis Theodorou Kampanakis, Brian Weis, Charles Calvin Byers, M. David Hanes, Joseph Michael Clarke +1 more | 2020-11-17 |
| 10812496 | Automatic generation of cluster descriptions | — | 2020-10-20 |
| 10805338 | Analyzing encrypted traffic behavior using contextual traffic data | Jan Kohout, Martin Grill, David McGrew, Martin Kopp, Tomas Pevny | 2020-10-13 |
| 10805341 | Leveraging point inferences on HTTP transactions for HTTPS malware detection | David McGrew | 2020-10-13 |
| 10735441 | Correlating endpoint and network views to identify evasive applications | David McGrew, Vincent E. Parla, Jan Jusko, Martin Grill, Martin Vejman | 2020-08-04 |
| 10728280 | Automatic retraining of machine learning models to detect DDoS attacks | K. Tirumaleswar Reddy, Daniel G. Wing, David McGrew | 2020-07-28 |
| 10728158 | On-box behavior-based traffic classification | Michael Joseph Stepanek, Costas Kleopa, David McGrew, Saravanan Radhakrishnan | 2020-07-28 |
| 10686831 | Malware classification and attribution through server fingerprinting using server certificate data | David McGrew, Subharthi Paul, Ivan Nikolaev, Martin Grill | 2020-06-16 |
| 10666640 | Semi-active probing framework to gather threat intelligence for encrypted traffic and learn about devices | David McGrew, Subharthi Paul, William Michael Hudson, JR., Philip Ryan Perricone | 2020-05-26 |
| 10554614 | Utilizing service tagging for encrypted flow classification | K. Tirumaleswar Reddy, David McGrew, Daniel G. Wing | 2020-02-04 |