Framework for efficient security coverage of mobile software applications using machine learning
US9594905B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 12, 2015 |
| Grant date | Mar 14, 2017 |
| Priority date | — |
| Expiry date | Oct 12, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/2101
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
For one embodiment, a method is described that involves the instrumenting of an application of a computing system with at least one monitoring function, where the monitoring function is capable of operating in a run-time environment during processing of the instrumented application. The movement of data associated with the application is tracked by one or more monitoring functions. This data is at least partially identified by a storage location. Thereafter, a determination is made whether movement of the data from a first storage location to a second storage location is suspicious, and if so, suspicious movement of the data is reported.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.