Smart contract security detection method and system, equipment, terminal and application
A technology of smart contracts and security detection, applied in neural learning methods, computer security devices, special data processing applications, etc., can solve the problems of increasing difficulty, difficulty in obtaining, and increasing the difficulty of model training, so as to reduce cumbersomeness and improve efficiency. Effect
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[0065] Example 1
[0066] 1) experimental use TensorFlow-2.1.0 Intelligent Fabric achieve security detection model contract.
[0067] 2) means for Go ast AST FIG pack configuration source code, and extracts a different edge relationship. I.e., all nodes traverse AST source. When traversing all nodes were sequentially numbered, and obtain the relationship between the different sides according to specific rules, and use a unified naming scheme to rewrite the variable name. This step ensures that the program semantic differences in the variable name and the like, does not affect the token (token) embedded option.
[0068] 3) Create a directory, then create train.py training file.
[0069] 4) write GGNN model training code inside the file. Code is loaded at the beginning of the code to the following packages.
[0070]
[0071] 5) in the same directory, create test.py test file.
[0072] 6) write GGNN model test code within the file. Code is loaded at the beginning of the code to the...
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