Ioannis C. Stylios

TL;DR: An up-to-date, comprehensive, extensive and targeted survey on Behavioral Biometrics and Continuous Authentication technologies for mobile devices and a state-of-the-art literature review focusing on the machine learning models performance in seven types of behavioral biometrics for continuous authentication.

TL;DR: A literature review on the topic of Continuous Authentication using behavioral biometrics, with a collection of selected published sources relevant to this topic accompanied by annotation, critical analysis of contents and, in some cases apposition of the main conclusions of each work.

TL;DR: In this article , the authors investigated the effect of various factors of behavioral intention through the new incorporation of a modified technology acceptance model (TAM) and diffusion of innovation theory (DOI), and created a new theoretical framework with constructs such as security and privacy risks (SPR), biometrics privacy concerns (BPC), and perceived risk of using the technology (PROU).

TL;DR: The purpose of this research is to analyze the most salient patterns characterizing user practices regarding certain behavioral modalities including: the way of using the various applications, power consumption, touch gestures and guest users' habits.

TL;DR: It is shown that while many smartphone users do take some security precautions, a high percentage of them still ignores security and privacy risks, and in addition, 19,1 % of users do not follow any practices to protect their PINs and Passwords.