| Title |
Graph-based malware detection using dynamic analysis
|
|---|---|
| Published in |
Journal of Computer Virology and Hacking Techniques, June 2011
|
| DOI | 10.1007/s11416-011-0152-x |
| Authors |
Blake Anderson, Daniel Quist, Joshua Neil, Curtis Storlie, Terran Lane |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 1% |
| United States | 3 | 1% |
| Malaysia | 2 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Canada | 1 | <1% |
| Russia | 1 | <1% |
| Croatia | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 198 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 27% |
| Student > Master | 42 | 20% |
| Researcher | 19 | 9% |
| Student > Bachelor | 15 | 7% |
| Student > Doctoral Student | 8 | 4% |
| Other | 21 | 10% |
| Unknown | 50 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 125 | 59% |
| Engineering | 22 | 10% |
| Mathematics | 2 | <1% |
| Chemistry | 2 | <1% |
| Social Sciences | 2 | <1% |
| Other | 2 | <1% |
| Unknown | 57 | 27% |