Smartphone app usage analysis: datasets, methods, and applications

T Li, T Xia, H Wang, Z Tu, S Tarkoma… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …

A comprehensive survey of recent internet measurement techniques for cyber security

MS Pour, C Nader, K Friday, E Bou-Harb - Computers & Security, 2023 - Elsevier
As the Internet has transformed into a critical infrastructure, society has become more
vulnerable to its security flaws. Despite substantial efforts to address many of these …

Mobile health and privacy: cross sectional study

G Tangari, M Ikram, K Ijaz, MA Kaafar, S Berkovsky - bmj, 2021 - bmj.com
Objectives To investigate whether and what user data are collected by health related mobile
applications (mHealth apps), to characterise the privacy conduct of all the available mHealth …

Goodbye tracking? Impact of iOS app tracking transparency and privacy labels

K Kollnig, A Shuba, M Van Kleek, R Binns… - Proceedings of the …, 2022 - dl.acm.org
Tracking is a highly privacy-invasive data collection practice that has been ubiquitous in
mobile apps for many years due to its role in supporting advertising-based revenue models …

Measuring and modeling the label dynamics of online {Anti-Malware} engines

S Zhu, J Shi, L Yang, B Qin, Z Zhang, L Song… - 29th USENIX Security …, 2020 - usenix.org
VirusTotal provides malware labels from a large set of anti-malware engines, and is heavily
used by researchers for malware annotation and system evaluation. Since different engines …

Are iphones really better for privacy? comparative study of ios and android apps

K Kollnig, A Shuba, R Binns, M Van Kleek… - arXiv preprint arXiv …, 2021 - arxiv.org
While many studies have looked at privacy properties of the Android and Google Play app
ecosystem, comparatively much less is known about iOS and the Apple App Store, the most …

Opening the blackbox of virustotal: Analyzing online phishing scan engines

P Peng, L Yang, L Song, G Wang - Proceedings of the Internet …, 2019 - dl.acm.org
Online scan engines such as VirusTotal are heavily used by researchers to label malicious
URLs and files. Unfortunately, it is not well understood how the labels are generated and …

Characterizing cryptocurrency exchange scams

P Xia, H Wang, B Zhang, R Ji, B Gao, L Wu, X Luo… - Computers & …, 2020 - Elsevier
As the indispensable trading platforms of the ecosystem, hundreds of cryptocurrency
exchanges are emerging to facilitate the trading of digital assets. While, it also attracts the …

LinRegDroid: Detection of Android malware using multiple linear regression models-based classifiers

DÖ Şahın, S Akleylek, E Kiliç - IEEE Access, 2022 - ieeexplore.ieee.org
In this study, a framework for Android malware detection based on permissions is presented.
This framework uses multiple linear regression methods. Application permissions, which are …

An analysis of pre-installed android software

J Gamba, M Rashed, A Razaghpanah… - … IEEE symposium on …, 2020 - ieeexplore.ieee.org
The open-source nature of the Android OS makes it possible for manufacturers to ship
custom versions of the OS along with a set of pre-installed apps, often for product …