| Dynamic malicious code detection technology based on deep learning | |
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| Author | |
| Abstract |
In this paper, the malicious code is run in the sandbox in a safe and controllable environment, the API sequence is deduplicated by the idea of the longest common subsequence, and the CNN and Bi-LSTM are integrated to process and analyze the API sequence. Compared with the method, the method using deep learning can have higher accuracy and work efficiency. |
| Year of Publication |
2022
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| Conference Name |
2022 20th International Conference on Optical Communications and Networks (ICOCN)
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| Google Scholar | BibTeX | |