Issued Patents 2020
Showing 1–13 of 13 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 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 |
| 10536268 | Passive decryption on encrypted traffic to generate more accurate machine learning training data | Andrew Chi, David McGrew, Scott William Dunlop | 2020-01-14 |