Smartphone app usage analysis: datasets, methods, and applications
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …
users has increased dramatically over the last decade. These personal devices, which are …
User profiling from their use of smartphone applications: A survey
The number and popularity of smartphone applications is rising dramatically. Users install
and use applications depending on their needs and interests. Applications on smartphones …
and use applications depending on their needs and interests. Applications on smartphones …
To what extent we repeat ourselves? Discovering daily activity patterns across mobile app usage
With the prevalence of smartphones, people have left abundant behavior records in
cyberspace. Discovering and understanding individuals' cyber activities can provide useful …
cyberspace. Discovering and understanding individuals' cyber activities can provide useful …
Understanding the long-term evolution of mobile app usage
The prevalence of smartphones has promoted the popularity of mobile apps in recent years.
Although significant effort has been made to understand mobile app usage, existing studies …
Although significant effort has been made to understand mobile app usage, existing studies …
A privacy-preserving federated learning system for android malware detection based on edge computing
This paper presents a privacy-preserving federated learning (PPFL) system for the detection
of android malware. The proposed PPFL allows mobile devices to collaborate together for …
of android malware. The proposed PPFL allows mobile devices to collaborate together for …
Deepapp: a deep reinforcement learning framework for mobile application usage prediction
This paper aims to predict the apps a user will open on her mobile device next. Such an
information is essential for many smartphone operations, eg, app pre-loading and content …
information is essential for many smartphone operations, eg, app pre-loading and content …
” what apps did you use?”: Understanding the long-term evolution of mobile app usage
The prevalence of smartphones has promoted the popularity of mobile apps in recent years.
Although significant effort has been made to understand mobile app usage, existing studies …
Although significant effort has been made to understand mobile app usage, existing studies …
When sharing economy meets iot: Towards fine-grained urban air quality monitoring through mobile crowdsensing on bike-share system
Air pollution is a serious global issue impacting public health and social economy. In
particular, exposure to small particulate matter of 2.5 microns or less in diameter (PM2. 5) …
particular, exposure to small particulate matter of 2.5 microns or less in diameter (PM2. 5) …
A parallel genetic algorithm framework for transportation planning and logistics management
Small to medium sized transportation and logistics companies are usually constrained by
limited computing and IT professional resources on implementing an efficient parallel …
limited computing and IT professional resources on implementing an efficient parallel …
Fedhgcdroid: An adaptive multi-dimensional federated learning for privacy-preserving android malware classification
C Jiang, K Yin, C **a, W Huang - Entropy, 2022 - mdpi.com
With the popularity of Android and its open source, the Android platform has become an
attractive target for hackers, and the detection and classification of malware has become a …
attractive target for hackers, and the detection and classification of malware has become a …