Towards Understanding Connections between Security/Privacy Attitudes and Unlock Authentication

01/23/2018
by   Adam J. Aviv, et al.
0

In this study, we examine the ways in which user attitudes towards privacy and security relating to mobile devices and the data stored thereon may impact the strength of unlock authentication, focusing on Android's graphical unlock patterns. We conducted an online study with Amazon Mechanical Turk (N=750) using self-reported unlock authentication choices, as well as Likert scale agreement/disagreement responses to a set of seven privacy/security prompts. We then analyzed the responses in multiple dimensions, including a straight average of the Likert responses as well as using Principle Component Analysis to expose latent factors. We found that responses to two of the seven questions proved relevant and significant. These two questions considered attitudes towards general concern for data stored on mobile devices, and attitudes towards concerns for unauthorized access by known actors. Unfortunately, larger conclusions cannot be drawn on the efficacy of the broader set of questions for exposing connections between unlock authentication strength (Pearson Rank r=-0.08, p<0.1). However, both of our factor solutions exposed differences in responses for demographics groups, including age, gender, and residence type. The findings of this study suggests that there is likely a link between perceptions of privacy/security on mobile devices and the perceived threats therein, but more research is needed, particularly on developing better survey and measurement techniques of privacy/security attitudes that relate to mobile devices specifically.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/26/2021

Data Security on Mobile Devices: Current State of the Art, Open Problems, and Proposed Solutions

In this work we present definitive evidence, analysis, and (where needed...
research
03/27/2018

Authentication schemes for Smart Mobile Devices: Threat Models, Countermeasures, and Open Research Issues

This paper presents a comprehensive investigation of authentication sche...
research
05/18/2017

Continuous Implicit Authentication for Mobile Devices based on Adaptive Neuro-Fuzzy Inference System

As mobile devices have become indispensable in modern life, mobile secur...
research
08/19/2020

Exposures Exposed: A Measurement and User Study to Assess Mobile Data Privacy in Context

Mobile devices have access to personal, potentially sensitive data, and ...
research
02/23/2022

BYOD Security: A Study of Human Dimensions

The prevalence and maturity of Bring Your Own Device (BYOD) security alo...
research
06/29/2018

SemanticLock: An authentication method for mobile devices using semantically-linked images

We introduce SemanticLock, a single factor graphical authentication solu...
research
06/05/2020

Knock, Knock. Who's There? On the Security of LG's Knock Codes

Knock Codes are a knowledge-based unlock authentication scheme used on L...

Please sign up or login with your details

Forgot password? Click here to reset