A Framework For Detecting And Countering Android Ui Attacks Via Inspection Of Ipc Traffic
Abstract
Android represents an ever-increasing share of the worldwide smart device market. The platform's ubiquity and open nature make Android a prime target for malicious actors. Unfortunately, device fragmentation among manufacturers makes maintaining cyber security difficult, invoking the need for third party security software. We present a framework for detecting and countering deceptive user interface attacks on the Android platform via inspection and analysis of inter-process communication transactions in the operating system. We evaluate our proof of concept implementation on a known class of malware that exploits the Android display system, allowing a malicious application to control the screen and mimic any application launched by the user. We achieve 100% detection rate of this malicious behavior with no false alarms.
Publication Date
7-27-2018
Publication Title
IEEE International Conference on Communications
Volume
2018-May
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICC.2018.8422187
Copyright Status
Unknown
Socpus ID
85051419381 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85051419381
STARS Citation
Kraunelis, Joshua; Fu, Xinwen; Yu, Wei; and Zhao, Wei, "A Framework For Detecting And Countering Android Ui Attacks Via Inspection Of Ipc Traffic" (2018). Scopus Export 2015-2019. 7844.
https://stars.library.ucf.edu/scopus2015/7844