| Title |
Anomaly detection through information sharing under different topologies
|
|---|---|
| Published in |
EURASIP Journal on Information Security, February 2017
|
| DOI | 10.1186/s13635-017-0056-5 |
| Authors |
Lazaros K. Gallos, Maciej Korczyński, Nina H. Fefferman |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 29% |
| Lecturer | 3 | 14% |
| Student > Bachelor | 3 | 14% |
| Student > Master | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 29% |
| Engineering | 3 | 14% |
| Environmental Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 33% |