AppPrivacy: Analyzing Data Collection and Privacy Leakage from Mobile App

Minjie Zhu; Qingqing Ye; Xin Yang; Xiaofeng Meng; Haibo Hu

AppPrivacy: Analyzing Data Collection and Privacy Leakage from Mobile App

Minjie Zhu, Qingqing Ye, Xin Yang, Xiaofeng Meng, Haibo Hu

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

While collecting legitimate usage data, many mobile applications (apps) have reportedly posed privacy threats to their hosted mobile devices and individuals, who are, unfortunately, unaware of data leaks and measures to protect themselves against these leaks. In this poster, we present a system that analyzes the two sides of mobile application ecosystem — data collection and privacy risk. The system consists of three main modules that correspond to mobile apps, users and service providers, respectively. To the best of our knowledge, this is the first work
to evaluate privacy risk by analyzing data collection and privacy leakage from mobile apps.

Original language	English
Title of host publication	Proc. of 40th IEEE Symposium on Security and Privacy
Pages	1-2
Publication status	Published - 2019

Cite this

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title = "AppPrivacy: Analyzing Data Collection and Privacy Leakage from Mobile App",

abstract = "While collecting legitimate usage data, many mobile applications (apps) have reportedly posed privacy threats to their hosted mobile devices and individuals, who are, unfortunately, unaware of data leaks and measures to protect themselves against these leaks. In this poster, we present a system that analyzes the two sides of mobile application ecosystem — data collection and privacy risk. The system consists of three main modules that correspond to mobile apps, users and service providers, respectively. To the best of our knowledge, this is the first workto evaluate privacy risk by analyzing data collection and privacy leakage from mobile apps.",

author = "Minjie Zhu and Qingqing Ye and Xin Yang and Xiaofeng Meng and Haibo Hu",

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AU - Zhu, Minjie

AU - Ye, Qingqing

AU - Yang, Xin

AU - Meng, Xiaofeng

AU - Hu, Haibo

PY - 2019

Y1 - 2019

N2 - While collecting legitimate usage data, many mobile applications (apps) have reportedly posed privacy threats to their hosted mobile devices and individuals, who are, unfortunately, unaware of data leaks and measures to protect themselves against these leaks. In this poster, we present a system that analyzes the two sides of mobile application ecosystem — data collection and privacy risk. The system consists of three main modules that correspond to mobile apps, users and service providers, respectively. To the best of our knowledge, this is the first workto evaluate privacy risk by analyzing data collection and privacy leakage from mobile apps.

AB - While collecting legitimate usage data, many mobile applications (apps) have reportedly posed privacy threats to their hosted mobile devices and individuals, who are, unfortunately, unaware of data leaks and measures to protect themselves against these leaks. In this poster, we present a system that analyzes the two sides of mobile application ecosystem — data collection and privacy risk. The system consists of three main modules that correspond to mobile apps, users and service providers, respectively. To the best of our knowledge, this is the first workto evaluate privacy risk by analyzing data collection and privacy leakage from mobile apps.

UR - https://www.ieee-security.org/TC/SP2019/posters/hotcrp_sp19posters-final41.pdf

M3 - Conference article published in proceeding or book

SP - 1

EP - 2

BT - Proc. of 40th IEEE Symposium on Security and Privacy

ER -

AppPrivacy: Analyzing Data Collection and Privacy Leakage from Mobile App

Abstract

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