DETECTING SECRETS IN SOURCECODE
A method for facilitating identification of secrets in source code by using machine learning is provided. The method includes retrieving a plurality of files from a repository, each of the plurality of files including a source code file; parsing the source code file to identify a training feature; a...
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| creator | HALL, Stephen ADEBAYO, Solomon Olaniyi FAINBERG, Joachim MORIARTY, Bill SAPHAL, Rohan KEITH, Robert Falconer OTTER, Rob EMAMI, Ahmad PAPADOPOULOS, Georgios SILAVONG, Fanny MORAN, Sean GEORGIADIS, Antonios TIWARI, Ashish |
| description | A method for facilitating identification of secrets in source code by using machine learning is provided. The method includes retrieving a plurality of files from a repository, each of the plurality of files including a source code file; parsing the source code file to identify a training feature; associating a predetermined label with the training feature, the predetermined label corresponding to a secret label and a non-secret label; training a model by using the training feature and the corresponding predetermined label; receiving, via a graphical user interface, a test file, the test file including a set of source codes; parsing the set of source codes to identify a feature; and determining, by using the model, a first characteristic of the feature. |
| format | Patent |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | DETECTING SECRETS IN SOURCECODE |
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