| Title |
An intelligent PE-malware detection system based on association mining
|
|---|---|
| Published in |
Journal of Computer Virology and Hacking Techniques, February 2008
|
| DOI | 10.1007/s11416-008-0082-4 |
| Authors |
Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye, Qingshan Jiang |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| India | 2 | 2% |
| Kenya | 1 | <1% |
| Malaysia | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Luxembourg | 1 | <1% |
| Croatia | 1 | <1% |
| Iraq | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 119 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 22% |
| Student > Master | 26 | 20% |
| Researcher | 13 | 10% |
| Student > Bachelor | 10 | 8% |
| Student > Doctoral Student | 7 | 5% |
| Other | 18 | 14% |
| Unknown | 29 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 87 | 66% |
| Engineering | 4 | 3% |
| Social Sciences | 3 | 2% |
| Physics and Astronomy | 1 | <1% |
| Materials Science | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 35 | 27% |