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Mendeley readers
Chapter title |
BL-IDS: Detecting Web Attacks Using Bi-LSTM Model Based on Deep Learning
|
---|---|
Chapter number | 45 |
Book title |
Security and Privacy in New Computing Environments
|
Published by |
Springer, Cham, June 2019
|
DOI | 10.1007/978-3-030-21373-2_45 |
Book ISBNs |
978-3-03-021372-5, 978-3-03-021373-2
|
Authors |
Saiyu Hao, Jun Long, Yingchuan Yang, Hao, Saiyu, Long, Jun, Yang, Yingchuan |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 7% |
Student > Master | 2 | 7% |
Lecturer > Senior Lecturer | 1 | 3% |
Other | 1 | 3% |
Student > Postgraduate | 1 | 3% |
Other | 4 | 14% |
Unknown | 18 | 62% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 28% |
Unspecified | 1 | 3% |
Social Sciences | 1 | 3% |
Unknown | 19 | 66% |