Code detection method and device, storage medium and terminal

Abstract

The invention discloses a code detection method and device, a storage medium and a terminal, and relates to the technical field of computer security. The method comprises the steps of: firstly acquiring a training sample code, and acquiring a self-defined loss function of misinformation and missing information corresponding to the training sample code; performing iterative training on a preset training model based on the self-defined loss function and the training sample code, and taking the trained preset training model as a prediction model; and finally, acquiring a to-be-detected code, andinputting the to-be-detected code into the prediction model to obtain a code detection result. Therefore, the self-defined loss function of misinformation and missing information corresponding to thetraining sample code can be set according to the service requirements corresponding to the code, and the service loss caused by the code detection result can be greatly reduced.

Description

technical field [0001] The present application relates to the technical field of computer security, and in particular to a code detection method, device, storage medium and terminal. Background technique [0002] With the development of science and technology, there are more and more opportunities for people to use electronic devices such as mobile terminals and computers in their lives. In various electronic devices, software is the basis for realizing various functions, and malicious code detection methods in software have also become One of the key points of research in this field. [0003] Malicious code refers to code that has no effect but brings danger. The most common malicious codes include computer viruses (referred to as viruses), Trojan horses (referred to as Trojan horses), computer worms (referred to as worms), backdoors, and logic bombs. In related technologies, machine learning based on the standard loss function can be used to realize code detection, but di...

AI Technical Summary

Problems solved by technology

[0004] This application provides a code detection method, device, storage medium and terminal, which can solve the problem of directly applying the machine learning algorithm based on the standard loss function in related technologies, which makes it easy for the trained model to only pursue the wrong code classification rate, but there are many problems. Technical issues with high actual business loss

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