Applied multivariate statistical analysis
Applied multivariate statistical analysis
User identification via keystroke characteristics of typed names using neural networks
International Journal of Man-Machine Studies
Learning in the presence of concept drift and hidden contexts
Machine Learning
On the Error-Reject Trade-Off in Biometric Verification Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keystroke dynamics as a biometric for authentication
Future Generation Computer Systems - Special issue on security on the Web
Enhanced Password Authentication through Fuzzy Logic
IEEE Expert: Intelligent Systems and Their Applications
Detecting Concept Drift with Support Vector Machines
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A Model for Context-dependent Access Control for Web-based Services with Role-based Approach
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
How DRM-based content delivery systems disrupt expectations of "personal use"
Proceedings of the 3rd ACM workshop on Digital rights management
Typing Patterns: A Key to User Identification
IEEE Security and Privacy
The impact of DRMs on personal use expectations and fair dealing rights
ACSW Frontiers '05 Proceedings of the 2005 Australasian workshop on Grid computing and e-research - Volume 44
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Identities Management for E-Commerce and Collaboration Applications
International Journal of Electronic Commerce
Designing Mechanisms for E-Commerce Security: An Example from Sealed-Bid Auctions
International Journal of Electronic Commerce
Expert Systems with Applications: An International Journal
Artificial rhythms and cues for keystroke dynamics based authentication
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Verification of computer users using keystroke dynamics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Computer user verification using login string keystroke dynamics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Account sharing refers to a situation where multiple individuals share a Web site account to avoid paying a fee or providing personal information. As a result of account sharing, service providers lose revenue, underestimate membership, and have impaired understanding of their customers. A generic framework for detecting account sharing is proposed, using keystroke dynamics. Starting with the observation that a user's keystroke patterns are consistent and distinct from those of other individuals, it is assumed that each user's keystroke patterns form a "cluster" in Euclidean space. The number of sharers can be estimated by the number of clusters. In this paper, the "optimal" number of clusters is estimated based on the Bayesian model-selection framework with Gaussian mixture models obtained using the variational Bayesian approach. In a case study involving 25 passwords and 16 users, the proposed approach performed well in "sharing detection," with a 2 percent false alarm rate, a 2 percent miss rate, and a "total user estimation" error of 7 percent. The proposed approach is viable and merits further investigation.