Title |
On normalized compression distance and large malware
|
---|---|
Published in |
Journal of Computer Virology and Hacking Techniques, December 2015
|
DOI | 10.1007/s11416-015-0260-0 |
Authors |
Rebecca Schuller Borbely |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 6% |
Czechia | 1 | 6% |
Unknown | 16 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 3 | 17% |
Student > Bachelor | 2 | 11% |
Student > Ph. D. Student | 2 | 11% |
Professor | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Other | 2 | 11% |
Unknown | 7 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 39% |
Engineering | 3 | 17% |
Unknown | 8 | 44% |