Fedpacket: A federated learning approach to mobile packet classification

E Bakopoulou, B Tillman… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In order to improve mobile data transparency, various approaches have been proposed to
inspect network traffic generated by mobile devices and detect exposure of personally …

A large scale study of user behavior, expectations and engagement with android permissions

W Cao, C Xia, ST Peddinti, D Lie, N Taft… - 30th USENIX Security …, 2021 - usenix.org
We conduct a global study on the behaviors, expectations and engagement of 1,719
participants across 10 countries and regions towards Android application permissions …

Nomoads: Effective and efficient cross-app mobile ad-blocking

A Shuba, A Markopoulou, Z Shafiq - Proceedings on Privacy …, 2018 - petsymposium.org
Although advertising is a popular strategy for mobile app monetization, it is often desirable to
block ads in order to improve usability, performance, privacy, and security. In this paper, we …

Personal information classification on aggregated android application's permissions

MMH Onik, CS Kim, NY Lee, J Yang - Applied Sciences, 2019 - mdpi.com
Android is offering millions of apps on Google Play-store by the application publishers.
However, those publishers do have a parent organization and share information with them …

Comprehensive detection of vulnerable personal information leaks in android applications

N Wongwiwatchai, P Pongkham… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
Privacy is important and valued by individuals in our society. However, the wide use of the
Internet and networked applications has introduced new complexities to how privacy can be …

Exposures exposed: a measurement and user study to assess mobile data privacy in context

E Bakopoulou, A Shuba, A Markopoulou - arXiv preprint arXiv:2008.08973, 2020 - arxiv.org
Mobile devices have access to personal, potentially sensitive data, and there is a large
number of mobile applications and third-party libraries that transmit this information over the …

移动设备加密流量的用户信息探测研究展望

张腾飞, 余顺争 - 通信学报, 2021 - infocomm-journal.com
移动设备加密流量分析可以用主动或被动的方式获取多种类型的用户信息,
为网络安全管理和用户隐私保护提供保障. 重点分析, 归纳了用户信息探测所涉及的数据采集 …

BANKS SHORT MESSAGE SERVICE THREATS NOTIFICATION SYSTEM ON ANDROID BASED PHONE

I umar Muhammad, MM Liman, J Abah… - FUDMA JOURNAL …, 2024 - fjs.fudutsinma.edu.ng
This research is carried out for the development and implementation of an end-to-end
encrypted Short Message Service (SMS) App, utilizing a hybrid cipher algorithm, driven by …

Privacy mining of large-scale mobile usage data

Y He, X Zhao, C Wang - 2019 IEEE International Conference …, 2019 - ieeexplore.ieee.org
While enjoying the convenience brought by mobile phones, users have been exposed to
high risk of private information leakage. It is known that many applications on mobile devices …

[图书][B] Federated Learning for Mobile Data Privacy

E Bakopoulou - 2021 - search.proquest.com
Mobile devices have access to rich personal, potentially sensitive data, from online activity
and multiple sensors that include personally identifiable information (PII), such as user …