Yaron Lehmann
24Patents
10h-index
11Co-inventors
64Inventor score
Filing activity: Jul 1, 2014 → Jun 26, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10069837B2 | Detection of proxy server | Electricity | 48 | Active |
| US9665703B2 | Device, system, and method of detecting user identity based on inter-page and intra-page navigation patterns | Electricity | 47 | Active |
| US9547766B2 | Device, system, and method of detecting malicious automatic script and code injection | Electricity | 36 | Active |
| US9275337B2 | Device, system, and method of detecting user identity based on motor-control loop model | Electricity | 36 | Active |
| US9621567B2 | Device, system, and method of detecting hardware components | Electricity | 34 | Active |
| US9541995B2 | Device, method, and system of detecting user identity based on motor-control loop model | Electricity | 34 | Active |
| US10049209B2 | Device, method, and system of differentiating between virtual machine and non-virtualized device | Physics | 33 | Active |
| US9531733B2 | Device, system, and method of detecting a remote access user | Electricity | 33 | Active |
| US9483292B2 | Method, device, and system of differentiating between virtual machine and non-virtualized device | Physics | 33 | Active |
| US10523680B2 | System, device, and method for detecting a proxy server | Electricity | 20 | Active |
| US10834090B2 | System, device, and method for detection of proxy server | Electricity | 10 | Active |
| US10740692B2 | Machine-learning and deep-learning techniques for predictive ticketing in information technology systems | Electricity | 4 | Active |
| US11416325B2 | Machine-learning and deep-learning techniques for predictive ticketing in information technology systems | Physics | 2 | Active |
| US10789119B2 | Determining root-cause of failures based on machine-generated textual data | Physics | 1 | Active |
| US10963634B2 | Cross-platform classification of machine-generated textual data | Electricity | 1 | Active |
| US11886276B2 | Automatically correlating phenomena detected in machine generated data to a tracked information technology change | Physics | 1 | Active |
| US11442995B2 | Filtering of log search results based on automated analysis | Physics | 0 | Active |
| US10600002B2 | Machine learning techniques for providing enriched root causes based on machine-generated data | Physics | 0 | Active |
| US11323451B2 | System, device, and method for detection of proxy server | Electricity | 0 | Active |
| US11758022B2 | Compression of machine-generated data | Electricity | 0 | Active |
| US11675647B2 | Determining root-cause of failures based on machine-generated textual data | Physics | 0 | Active |
| US11693851B2 | Permutation-based clustering of computer-generated data entries | Physics | 0 | Active |
| US12050600B2 | Permutation-based clustering of computer-generated data entries | Physics | 0 | Active |
| US12169437B1 | Cloud service provider request retry framework | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.