Malicious application detection in android—a systematic literature review

T Sharma, D Rattan - Computer Science Review, 2021 - Elsevier
Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …

Detecting malware by analyzing app permissions on android platform: A systematic literature review

A Ehsan, C Catal, A Mishra - Sensors, 2022 - mdpi.com
Smartphone adaptation in society has been progressing at a very high speed. Having the
ability to run on a vast variety of devices, much of the user base possesses an Android …

Malware detection: a framework for reverse engineered android applications through machine learning algorithms

B Urooj, MA Shah, C Maple, MK Abbasi… - IEEE Access, 2022 - ieeexplore.ieee.org
Today, Android is one of the most used operating systems in smartphone technology. This is
the main reason, Android has become the favorite target for hackers and attackers …

Malicious code detection based on code semantic features

Y Zhang, B Li - IEEE Access, 2020 - ieeexplore.ieee.org
With the development of smart phones, malicious applications for the Android platform have
increased dramatically. The existing Android malicious code analysis methods majorly focus …

Machine learning-based malware detection using stacking of opcodes and bytecode sequences

M Sai, A Tyagi, K Panda… - 2022 Seventh International …, 2022 - ieeexplore.ieee.org
Malware detection is a complex problem. The commonly used signature-based technique
cannot detect unknown or zero-day malware. Traditional machine learning-based methods …

Ipanalyzer: A novel Android malware detection system using ranked intents and permissions

Y Sharma, A Arora - Multimedia Tools and Applications, 2024 - Springer
Android malware has been growing in scale and complexity, spurred by the unabated
uptake of smartphones worldwide. Millions of malicious Android applications have been …

A comprehensive review on permissions-based Android malware detection

Y Sharma, A Arora - International Journal of Information Security, 2024 - Springer
The first Android-ready “G1” phone debuted in late October 2008. Since then, the growth of
Android malware has been explosive, analogous to the rise in the popularity of Android. The …

Information gain-based feature selection method in malware detection for maldroid2020

PV Agrawal, DD Kshirsagar - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
This paper proposes an information gain (IG) feature selection method with a ranker to
perform dimensionality reduction in an android malware detection system. The proposed …

Android malware detection: a literature review

A Sabbah, A Taweel, S Zein - International Conference on Ubiquitous …, 2022 - Springer
Mobile applications are increasingly being used to support critical domains such as health,
logistics, and banking, to name a few. These mobile apps, hence, became a target for …

Malware and piracy detection in Android applications

N Kumari, M Chen - 2022 IEEE 5th International Conference on …, 2022 - ieeexplore.ieee.org
With the exploding growth in the number of Android applications, software malware and
piracy incidents are among the major concerns to be addressed for a healthy marketplace …