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Mendeley readers
| Chapter title |
DURLD: Malicious URL Detection Using Deep Learning-Based Character Level Representations
|
|---|---|
| Chapter number | 21 |
| Book title |
Malware Analysis Using Artificial Intelligence and Deep Learning
|
| Published by |
Springer, Cham, January 2021
|
| DOI | 10.1007/978-3-030-62582-5_21 |
| Book ISBNs |
978-3-03-062581-8, 978-3-03-062582-5
|
| Authors |
Srinivasan, Sriram, Vinayakumar, R., Arunachalam, Ajay, Alazab, Mamoun, Soman, KP |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Unspecified | 1 | 5% |
| Other | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 13 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 27% |
| Unspecified | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 13 | 59% |