Continuous authentication for mouse dynamics: A pattern-growth approach

Continuous and Non-intrusive Reauthentication of Web Sessions Based on Mouse Dynamics

“…. known to the system are used [7], [8]; or, 2) only data generated by U − may be used [10], [11]. The rationale of approach 2 is that, in a system involving a large and dynamic set of users, assuming that the profile of each user requires data from every other user is not realistic.…”

“…We construct mouse dynamics in a feature space similar to several earlier proposals (e.g., [7], [10]) and composed of 39 features related to position, speed, acceleration, and so on. In order to minimize the amount of events to be collected and sent to the Collector, we chose to: (a) construct a new feature vector only when there is a pause of at least 500 ms in mouse usage; and (b) use in each feature vector only a small amount of the events immediately preceding each pause.…”

“…Mechanisms capable of complementing the traditional authentication procedures, which are based on knowledge of a certain password or possession of a certain cryptographic key, would be highly desirable. Approaches which have been proposed in this respect include usage of the stream of events generated at the human-machine boundary as a "behavioral biometric" property which can be univocally associated with each user-keystrokes [5], [6], mouse trajectories and clicks [7], [8], [9], [10], [11], [12], [6], touch-screen interactions [13]. By comparing the stream of events in a certain session to a previously collected ground truth, one may perform additional authentication checks with high accuracy.…”

A computational approach to the continuous authentication biometric system

“…Shen et al [27] designed a mouse interaction based continuous authentication system. In their system, there is no need for impostor training data.…”

Avatar captcha : telling computers and humans apart via face classification and mouse dynamics.

“…These metrics are relatively unique for each user and platform independent. A pattern-growth based mining method to extract frequent-behavior segments to obtain stable mouse characteristics is described in [103]. Here, one-class classification is employed to achieve continuous user authentication.…”