| Title |
Mac-A-Mal: macOS malware analysis framework resistant to anti evasion techniques
|
|---|---|
| Published in |
Journal of Computer Virology and Hacking Techniques, June 2019
|
| DOI | 10.1007/s11416-019-00335-w |
| Authors |
Duy-Phuc Pham, Duc-Ly Vu, Fabio Massacci |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 25% |
| Indonesia | 1 | 13% |
| Vietnam | 1 | 13% |
| France | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 16% |
| Unspecified | 3 | 10% |
| Student > Master | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 14 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 35% |
| Unspecified | 3 | 10% |
| Psychology | 1 | 3% |
| Chemistry | 1 | 3% |
| Unknown | 15 | 48% |