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Mendeley readers
Chapter title |
Unsupervised Anomaly-Based Malware Detection Using Hardware Features
|
---|---|
Chapter number | 6 |
Book title |
Research in Attacks, Intrusions and Defenses
|
Published by |
Springer, Cham, September 2014
|
DOI | 10.1007/978-3-319-11379-1_6 |
Book ISBNs |
978-3-31-911378-4, 978-3-31-911379-1
|
Authors |
Adrian Tang, Simha Sethumadhavan, Salvatore J. Stolfo, Tang, Adrian, Sethumadhavan, Simha, Stolfo, Salvatore J. |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
United Kingdom | 1 | <1% |
Malaysia | 1 | <1% |
Romania | 1 | <1% |
Croatia | 1 | <1% |
Unknown | 158 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 44 | 27% |
Student > Master | 38 | 23% |
Researcher | 14 | 8% |
Other | 8 | 5% |
Student > Bachelor | 7 | 4% |
Other | 24 | 15% |
Unknown | 30 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 101 | 61% |
Engineering | 21 | 13% |
Chemistry | 3 | 2% |
Economics, Econometrics and Finance | 2 | 1% |
Mathematics | 2 | 1% |
Other | 1 | <1% |
Unknown | 35 | 21% |