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Mendeley readers
| Chapter title |
Exploring Discriminatory Features for Automated Malware Classification
|
|---|---|
| Chapter number | 3 |
| Book title |
Detection of Intrusions and Malware, and Vulnerability Assessment
|
| Published in |
Lecture notes in computer science, July 2013
|
| DOI | 10.1007/978-3-642-39235-1_3 |
| Book ISBNs |
978-3-64-239234-4, 978-3-64-239235-1
|
| Authors |
Guanhua Yan, Nathan Brown, Deguang Kong, Yan, Guanhua, Brown, Nathan, Kong, Deguang |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 4% |
| Malaysia | 1 | 2% |
| Thailand | 1 | 2% |
| Luxembourg | 1 | 2% |
| Unknown | 51 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 36% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Researcher | 6 | 11% |
| Other | 4 | 7% |
| Other | 2 | 4% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 40 | 71% |
| Engineering | 2 | 4% |
| Chemistry | 1 | 2% |
| Mathematics | 1 | 2% |
| Unknown | 12 | 21% |