| Title |
Malware detection using assembly and API call sequences
|
|---|---|
| Published in |
Journal of Computer Virology and Hacking Techniques, April 2010
|
| DOI | 10.1007/s11416-010-0141-5 |
| Authors |
Madhu K. Shankarapani, Subbu Ramamoorthy, Ram S. Movva, Srinivas Mukkamala |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| Germany | 1 | 1% |
| Malaysia | 1 | 1% |
| India | 1 | 1% |
| Canada | 1 | 1% |
| Iran, Islamic Republic of | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 80 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 32% |
| Student > Ph. D. Student | 23 | 26% |
| Student > Bachelor | 7 | 8% |
| Researcher | 7 | 8% |
| Student > Doctoral Student | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 19 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 60 | 67% |
| Engineering | 6 | 7% |
| Energy | 1 | 1% |
| Earth and Planetary Sciences | 1 | 1% |
| Social Sciences | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 20 | 22% |