VisualAuth: Secure Transaction Authentication and Trusted UI on COTS Android Devices

Security of critical smartphone applications, including mobile banking, e-commerce and cashless payments, can be jeopardized by kernel-level or UI-targeting malware, for instance by employing clickjacking or overlay attacks. In this work we propose a novel approach to building secure UI screens based on DRM system and demonstrate its feasibility on Android for transaction authentication use case. Security of our solution is based on a TEE thus making it resilient against privileged malware. Additionally, we introduce a detection mechanism for overlay attacks based on random background patterns. Our approach does not require any system customization and is deployable on a wide range of COTS devices. The usability of the proposed solution was validated by means of an online survey, which indicated high detection rate of overlay attacks. Aside of simple transaction authentication, similar to the Android Protected Confirmation (APC) but with a wider device support, our approach can be used to realize more general applications, for instance, secure voting input screen, document viewing, confidential news reading and social media clients, providing high security against spyware or remote forensics investigations.

Authors

Institutions

Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/trustcom63139.2024.00044
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

VisualAuth: Secure Transaction Authentication and Trusted UI on COTS Android Devices

Mykolai Protsenko, Anthony Stark, Sandra Kostic, Andreas Papon
Advanced Malware Detection Techniques
article

VisualAuth: Secure Transaction Authentication and Trusted UI on COTS Android Devices

Mykolai Protsenko, Anthony Stark, Sandra Kostic, Andreas Papon
article en

Abstract

Security of critical smartphone applications, including mobile banking, e-commerce and cashless payments, can be jeopardized by kernel-level or UI-targeting malware, for instance by employing clickjacking or overlay attacks. In this work we propose a novel approach to building secure UI screens based on DRM system and demonstrate its feasibility on Android for transaction authentication use case. Security of our solution is based on a TEE thus making it resilient against privileged malware. Additionally, we introduce a detection mechanism for overlay attacks based on random background patterns. Our approach does not require any system customization and is deployable on a wide range of COTS devices. The usability of the proposed solution was validated by means of an online survey, which indicated high detection rate of overlay attacks. Aside of simple transaction authentication, similar to the Android Protected Confirmation (APC) but with a wider device support, our approach can be used to realize more general applications, for instance, secure voting input screen, document viewing, confidential news reading and social media clients, providing high security against spyware or remote forensics investigations.

ETH Zurich (CH), Fraunhofer Institute for Applied and Integrated Security (DE)
Openalex Percentile: Top 67%
Advanced Malware Detection Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.