Assistant professor hopes to stall malware threat by tracking human use behaviors
| dc.contributor.author | Mackay, Steven D. | en |
| dc.coverage.spatial | Blacksburg, Va. | en |
| dc.date.accessioned | 2015-10-29T21:40:55Z | en |
| dc.date.available | 2015-10-29T21:40:55Z | en |
| dc.date.issued | 2010-02-02 | en |
| dc.description.abstract | Danfeng Yao, an assistant professor in the computer science department at Virginia Tech's College of Engineering, will use a $530,000 National Science Foundation Faculty Early Career Development (CAREER) grant to develop software that will differentiate human-user computer interaction from that of malware. | en |
| dc.identifier.uri | http://hdl.handle.net/10919/63238 | en |
| dc.publisher | Virginia Tech. University Relations | en |
| dc.rights | In Copyright | en |
| dc.rights.holder | Virginia Tech. University Relations | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | College of Engineering | en |
| dc.title | Assistant professor hopes to stall malware threat by tracking human use behaviors | en |
| dc.type | Press release | en |
| dc.type.dcmitype | Text | en |