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arXiv · 1803.01261

AntShield: On-Device Detection of Personal Information Exposure

Anastasia Shuba·Evita Bakopoulou·Milad Asgari Mehrabadi·Hieu Le·David Choffnes·Athina Markopoulou
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Abstract

Mobile devices have access to personal, potentially sensitive data, and there is a growing number of applications that transmit this personally identifiable information (PII) over the network. In this paper, we present the AntShield system that performs on-device packet-level monitoring and detects the transmission of such sensitive information accurately and in real-time. A key insight is to distinguish PII that is predefined and is easily available on the device from PII that is unknown a priori but can be automatically detected by classifiers. Our system not only combines, for the first time, the advantages of on-device monitoring with the power of learning unknown PII, but also outperforms either of the two approaches alone. We demonstrate the real-time performance of our prototype as well as the classification performance using a dataset that we collect and analyze from scratch (including new findings in terms of leaks and patterns). AntShield is a first step towards enabling distributed learning of private information exposure.

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Anastasia Shuba, Evita Bakopoulou, Milad Asgari Mehrabadi, Hieu Le, David Choffnes, Athina Markopoulou. 2018-03-03. AntShield: On-Device Detection of Personal Information Exposure. https://arxiv.org/abs/1803.01261

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