Abstract: Voice Assistants, also known as VAs, have gained popularity in the last few years. They make our daily tasks easier via simple voice instructions. VAs platforms allow third-party developers to develop voice applications and publish them on the VAs platforms. However, VAs applications may collect users’ personal information for different purposes. To maintain the security and privacy of users, VAs platforms have specified a set of policies that must be adhered to by VAs applications’ developers. This paper aims to automatically detect voice apps that do not comply with the VA's platforms policies. To this end, DetBERT, a comprehensive testing tool, was built. DetBERT evaluates voice apps' compliance with the policies using BERT model by analyzing the apps’ behaviors and detecting violations. With DetBERT, a total of 50,000 voice assistant apps from Amazon Alexa and Google Assistant platforms were tested. The paper demonstrates that DetBERT can accurately identify whether a voice assistant application has violated the platform’s policy or not.

Rawan Baalous, Joud Alzahrani, Mariam Ali, Rana Asiri and Eman Nooli. “DetBERT: Enhancing Detection of Policy Violations for Voice Assistant Applications using BERT”. International Journal of Advanced Computer Science and Applications (IJACSA) 14.9 (2023). http://dx.doi.org/10.14569/IJACSA.2023.0140974

@article{Baalous2023,
title = {DetBERT: Enhancing Detection of Policy Violations for Voice Assistant Applications using BERT},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140974},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140974},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {9},
author = {Rawan Baalous and Joud Alzahrani and Mariam Ali and Rana Asiri and Eman Nooli}
}