Fuzzy Logic-based Implicit Authentication for Mobile Access Control

TL;DR

This paper presents a fuzzy logic-based implicit authentication scheme for mobile devices that adaptively assesses user trust in real-time, aiming to enhance privacy and security with minimal training and high accuracy.

Contribution

It introduces a novel fuzzy logic approach for implicit authentication, comparing membership functions and demonstrating effectiveness with real user data.

Findings

High system accuracy achieved

Effective detection of abnormal activity

Lightweight real-time authentication performance

Abstract

In order to address the increasing compromise of user privacy on mobile devices, a Fuzzy Logic based implicit authentication scheme is proposed in this paper. The proposed scheme computes an aggregate score based on selected features and a threshold in real-time based on current and historic data depicting user routine. The tuned fuzzy system is then applied to the aggregated score and the threshold to determine the trust level of the current user. The proposed fuzzy-integrated implicit authentication scheme is designed to: operate adaptively and completely in the background, require minimal training period, enable high system accuracy while provide timely detection of abnormal activity. In this paper, we explore Fuzzy Logic based authentication in depth. Gaussian and triangle-based membership functions are investigated and compared using real data over several weeks from different Android phone users. The presented results show that our proposed Fuzzy Logic approach is a highly effective, and viable scheme for lightweight real-time implicit authentication on mobile devices.