[PDF][PDF] Android adware detection using soot and CFG

J Park, S Jung - Journal of Wireless Mobile Networks, Ubiquitous …, 2022 - jowua.com
Adware is the most common type of malware. While considered not harmful in nature, it
disrupts the user experience and generates unwanted revenue. Adware is also difficult to …

[HTML][HTML] AdStop: Efficient flow-based mobile adware detection using machine learning

MM Alani, AI Awad - Computers & Security, 2022 - Elsevier
In recent years, mobile devices have become commonly used not only for voice
communications but also to play a major role in our daily activities. Accordingly, the number …

Android adware detection using machine learning

S Bagui, D Benson - International Journal of Cyber Research and …, 2021 - igi-global.com
Adware, an advertising-supported software, becomes a type of malware when it
automatically delivers unwanted advertisements to an infected device, steals user …

An analysis of Android adware

S Suresh, F Di Troia, K Potika, M Stamp - Journal of Computer Virology …, 2019 - Springer
Most Android smartphone applications, or apps, are free—to generate revenue,
advertisements are displayed when an app is used. Billions of dollars are lost annually due …

[PDF][PDF] Network Traffic Based Detection of Repackaged Android Apps via Mobile Fog Computing

MAR Khan, S Dubey, RC Tripathi - International Journal of Future …, 2021 - researchgate.net
Repackaged apps are the biggest challenge in the Android ecosystem. Many tools are
available in the market to detect the repackaged apps. Most of the tools and recent …

A collaborative approach on host and network level android malware detection

C Bae, S Shin - Security and Communication Networks, 2016 - Wiley Online Library
We suggest a collaborative approach for revealing malicious behaviors on Android
smartphones by which monitoring four observable parts:(i) network usages (ii) network …

AppFA: a novel approach to detect malicious android applications on the network

G He, B Xu, H Zhu - Security and Communication Networks, 2018 - Wiley Online Library
We propose AppFA, an Application Flow Analysis approach, to detect malicious Android
applications (simply apps) on the network. Unlike most of the existing work, AppFA does not …

On‐Device Detection of Repackaged Android Malware via Traffic Clustering

G He, B Xu, L Zhang, H Zhu - Security and Communication …, 2020 - Wiley Online Library
Malware has become a significant problem on the Android platform. To defend against
Android malware, researchers have proposed several on‐device detection methods …

A mobile malware detection method using behavior features in network traffic

S Wang, Z Chen, Q Yan, B Yang, L Peng… - Journal of Network and …, 2019 - Elsevier
Android has become the most popular mobile platform due to its openness and flexibility.
Meanwhile, it has also become the main target of massive mobile malware. This …

Analyzing Android Adware

S Suresh - 2018 - scholarworks.sjsu.edu
Most Android smartphone apps are free; in order to generate revenue, the app developers
embed ad libraries so that advertisements are displayed when the app is being used …