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 …
inspect network traffic generated by mobile devices and detect exposure of personally …
Nomoads: Effective and efficient cross-app mobile ad-blocking
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 …
block ads in order to improve usability, performance, privacy, and security. In this paper, we …
Nomoats: Towards automatic detection of mobile tracking
A Shuba, A Markopoulou - Proceedings on Privacy Enhancing …, 2020 - petsymposium.org
Today's mobile apps employ third-party advertising and tracking (A&T) libraries, which may
pose a threat to privacy. State-of-the-art detects and blocks outgoing A&T HTTP/S requests …
pose a threat to privacy. State-of-the-art detects and blocks outgoing A&T HTTP/S requests …
Personal information classification on aggregated android application's permissions
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 …
However, those publishers do have a parent organization and share information with them …
Toward improving the security of IoT and CPS devices: An AI approach
Detecting anomalously behaving devices in security-and-safety-critical applications is an
important challenge. This article presents an off-device methodology for detecting the …
important challenge. This article presents an off-device methodology for detecting the …
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 …
Internet and networked applications has introduced new complexities to how privacy can be …
Privacy leak classification on mobile devices
A Shuba, E Bakopoulou… - 2018 IEEE 19th …, 2018 - ieeexplore.ieee.org
Mobile devices have access to personal, potentially sensitive data, and there is a growing
number of mobile apps that have access to it and often transmit this personally identifiable …
number of mobile apps that have access to it and often transmit this personally identifiable …
Statistical Feature‐Based Personal Information Detection in Mobile Network Traffic
S Zhao, S Chen, Z Wei - Wireless Communications and Mobile …, 2022 - Wiley Online Library
With the popularity of smartphones, mobile applications (apps) have penetrated the daily life
of people. Although apps provide rich functionalities, they also access a large amount of …
of people. Although apps provide rich functionalities, they also access a large amount of …
Exposures exposed: a measurement and user study to assess mobile data privacy in context
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 …
number of mobile applications and third-party libraries that transmit this information over the …
A Deep Dive into Relevant Feature Identification for Unveiling PII Leakage in Smartphones
R Kohli, S Gupta, MS Gaur - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Advancement in networking technologies has led to an increase in mobile phone usage
exponentially, simplifying people's lives. However, this surge has created pathways for …
exponentially, simplifying people's lives. However, this surge has created pathways for …