Natural Interaction for Bot Detection
| Title | Natural Interaction for Bot Detection |
| Publication Type | Magazine Article |
| Year of Publication | 2016 |
| Authors | Robert St. Amant, David L. Roberts |
| Magazine | IEEE Internet Computing |
| Volume | July/August |
| Frequency | 6 |
| ISSN | 1089-7801 |
| Keywords | CPS Technologies, Leveraging the Effects of Cognitive Function on Input Device Analytics to Improve Security, Research Program Overview |
| Abstract | Bot detection - identifying a software program that's using a computer system -- is an increasingly necessary security task. Existing solutions balance proof of human identity with unobtrusiveness in users' workflows. Cognitive modeling and natural interaction might provide stronger security and less intrusiveness. |
| URL | http://ieeexplore.ieee.org/document/7529035/ |
| DOI | 10.1109/MIC.2016.75 |
| Citation Key | node-26899 |