| Title |
An investigation of byte n-gram features for malware classification
|
|---|---|
| Published in |
Journal of Computer Virology and Hacking Techniques, September 2016
|
| DOI | 10.1007/s11416-016-0283-1 |
| Authors |
Edward Raff, Richard Zak, Russell Cox, Jared Sylvester, Paul Yacci, Rebecca Ward, Anna Tracy, Mark McLean, Charles Nicholas |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 32 | 27% |
| Student > Ph. D. Student | 10 | 8% |
| Researcher | 5 | 4% |
| Lecturer | 5 | 4% |
| Student > Bachelor | 4 | 3% |
| Other | 11 | 9% |
| Unknown | 52 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 51 | 43% |
| Engineering | 6 | 5% |
| Unspecified | 4 | 3% |
| Mathematics | 2 | 2% |
| Arts and Humanities | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 53 | 45% |