HIGHLIGHTS
- who: Zhining Zhang and colleagues from the State Key Laboratory of Public Big, College of Computer Science and Technology, Guizhou University, Guiyang, China have published the research: JACLNet:Application of adaptive code length network in JavaScript malicious code detection, in the Journal: PLOS ONE of 20/08/2022
- what: To verify that the model presented in this paper can effectively detect variable JavaScript code the authors divide the datasets used in this paper into long text dataset DB_Long; short text dataset DB_Short original dataset DB_Or and enhanced dataset DB_Re. In this paper, small convolution kernels . . .
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