Identity authentication based on keystroke latencies
Communications of the ACM
Authentication via keystroke dynamics
Proceedings of the 4th ACM conference on Computer and communications security
Cluster validity methods: part I
ACM SIGMOD Record
Biometric user verification using haptics and fuzzy logic
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Automated stress detection using keystroke and linguistic features: An exploratory study
International Journal of Human-Computer Studies
Feasibility study of tactile-based authentication
International Journal of Human-Computer Studies
Tactile vs graphical authentication
EuroHaptics'10 Proceedings of the 2010 international conference on Haptics: generating and perceiving tangible sensations, Part I
| Hi-index | 0.00 |
Authentication for the purposes of security has taken giant strides since the introduction of Biometrics to help identify people by their behavioral and physiological features. From organizations and corporations to educational institutes, electronic resources, and even crime scenes, Biometrics offers a wide application scope to detect fraud attempts. This paper proposes a research path to achieve the task of authenticating users that are working in a haptic-based environment. The field of Biometrics can be divided into two main classes of human features. Birth-given characteristics like fingerprints and facial features cannot be developed or altered by humans. Behavioral characteristics such as hand signature and voice fall into the second class [1]. The work presented in this paper pursues the latter class and specifically studies how a person reacts to using daily devices or tools. The fact that we can exploit people's habits in handling devices to detect identity was the hypothesis that motivated this work.