Continuous user authentication using multi-modal biometrics

Abstract

As modern mobile devices increase in their capability and accessibility, they introduce additional demands in terms of security - particularly authentication. With the widely documented poor use of PINs, Active Authentication is designed to overcome the fundamental issue of usable and secure authentication through utilizing biometric-based techniques to continuously verify user identity. This paper proposes a novel text-based multimodal biometric approach utilizing linguistic analysis, keystroke dynamics and behavioural profiling. Experimental investigations show that users can be discriminated via their text-based entry, with an average Equal Error Rate (EER) of 3.3%. Based on these findings, a framework that is able to provide robust, continuous and transparent authentication is proposed. The framework is evaluated to examine the effectiveness of providing security and user convenience. The result showed that the framework is able to provide a 91% reduction in the number of intrusive authentication requests required for high security applications

Authentication schemes for smart mobile devices: threat models, countermeasures, and open research issues

“…As shown in Figure 7, the realization processes of a biometric-based authentication scheme for smart mobile devices are based on the following processes: The write a text message using a biometric is called keystroke analysis, which can be classified as either static or continuous. To authenticate users based on the keystroke analysis, Clarke and Furnell [47] introduced the concept of advanced user authentication, which is based on three Electrocardiogram [51,52] Voice recognition [46,49,65] Signature recognition [79] Gait recognition [55] Behavior profiling [54] Fingerprint [13,27,32,35,68] Smart card [37] Multi-touch interfaces [59,60] Graphical password [74] Face recognition [46,67,76] Iris recognition [36,76] Rhythm [56,57] Capacitive touchscreen [53] Ear Shape [50] Arm gesture [50] Keystroke dynamics [64] Touch dynamics [43,58] Physical proximity [26] Electronic voting [28] Seamless roaming [25] Transitive authentication [45] Attribute-based authentication [42] User-habit-oriented authentication [57] Handover authentication [40] Two-factor [43,…”

A spoof resistant multibiometric system based on the physiological and behavioral characteristics of fingerprint

“…The experiments in this work compare individual and combined performance of the modalities for person verification. We follow the standard practice usually employed for modeling multi-biometric system when a multimodal dataset of desired modalities is not available [9,[28][29][30] (fingerprints and fingerprint dynamics in our experiment). In this scenario modalities from different datasets are combined to form virtual personalities.…”

Selective Small Reconstruction Error Based LDRC Multimodal Biometric Authentication

“…Saevanee et al [20] have illustrated a text-based multimodal biometric scheme by exploiting linguistic examination, keystroke dynamics & behavioral profiling. For evolving an authentication mechanism that can give a less costly, non-intrusive & uninterrupted solution to the difficult of user authentication.…”