iHIP: Towards a User Centric Individual Human Interaction Proof Framework

Abstract

A Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a widely used Human Interaction Proof mechanism to protect on-line services against automated software agents. Nowadays, there is a consensus among researchers, practitioners and users that current design approaches of CAPTCHA need to be improved in order to provide a fair trade-off solution between security and usability. In this paper, we propose a shift from a generic Human Interaction Proof (HIP) to a more user-friendly Individual Human Interaction Proof (iHIP) approach by incorporating a dynamic and extendable human and technology factor based user-centric framework. Such an approach provides an alternative point of view to current state of the art practices aiming to deliver the best-fit CAPTCHA to each individual by taking into consideration contextual and behavioral interaction data.