Table 4 Percentage of malicious PDF files in previous studies
Study | Year | Core of the study | Malicious files percentage |
|---|---|---|---|
[13] | 2011 | Dynamic analysis of embedded JavaScript code | 9 |
[7] | 2011 | Static lexical analysis of embedded JavaScript code | 94 |
[20] | 2011 | Dynamic analysis of embedded JavaScript code | 69 |
[9] | 2012 | Static tokenization of embedded JavaScript code | 43 |
[19] | 2012 | Dynamic analysis of embedded JavaScript code | 65 |
[16] | 2012 | Static analysis of meta-features | 5 |
[8] | 2012 | Static analysis of embedded keywords | 53 |
[17] | 2013 | Static analysis using entropy and n-gram | 58 |
[21] | 2013 | Dynamic analysis of embedded JavaScript code | 29 |
[6] | 2013 | Static analysis of structural features | 12 |
Average 38 | |||