Android malware family classification and analysis: Current status and future directions
Android receives major attention from security practitioners and researchers due to the influx
number of malicious applications. For the past twelve years, Android malicious applications …
number of malicious applications. For the past twelve years, Android malicious applications …
Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation)
Android is a free open-source operating system (OS), which allows an in-depth
understanding of its architecture. Therefore, many manufacturers are utilizing this OS to …
understanding of its architecture. Therefore, many manufacturers are utilizing this OS to …
Androdialysis: Analysis of android intent effectiveness in malware detection
The wide popularity of Android systems has been accompanied by increase in the number
of malware targeting these systems. This is largely due to the open nature of the Android …
of malware targeting these systems. This is largely due to the open nature of the Android …
On the impact of sample duplication in machine-learning-based android malware detection
Malware detection at scale in the Android realm is often carried out using machine learning
techniques. State-of-the-art approaches such as DREBIN and MaMaDroid are reported to …
techniques. State-of-the-art approaches such as DREBIN and MaMaDroid are reported to …
[HTML][HTML] Explainable malware detection system using transformers-based transfer learning and multi-model visual representation
Android has become the leading mobile ecosystem because of its accessibility and
adaptability. It has also become the primary target of widespread malicious apps. This …
adaptability. It has also become the primary target of widespread malicious apps. This …
A taxonomy and qualitative comparison of program analysis techniques for security assessment of android software
In parallel with the meteoric rise of mobile software, we are witnessing an alarming
escalation in the number and sophistication of the security threats targeted at mobile …
escalation in the number and sophistication of the security threats targeted at mobile …
Ec2: Ensemble clustering and classification for predicting android malware families
As the most widely used mobile platform, Android is also the biggest target for mobile
malware. Given the increasing number of Android malware variants, detecting malware …
malware. Given the increasing number of Android malware variants, detecting malware …
R-PackDroid: API package-based characterization and detection of mobile ransomware
Ransomware has become a serious and concrete threat for mobile platforms and in
particular for Android. In this paper, we propose R-PackDroid, a machine learning system for …
particular for Android. In this paper, we propose R-PackDroid, a machine learning system for …
On the effectiveness of system API-related information for Android ransomware detection
Ransomware constitutes a significant threat to the Android operating system. It can either
lock or encrypt the target devices, and victims are forced to pay ransoms to restore their data …
lock or encrypt the target devices, and victims are forced to pay ransoms to restore their data …
Cyber-threat detection system using a hybrid approach of transfer learning and multi-model image representation
Currently, Android apps are easily targeted by malicious network traffic because of their
constant network access. These threats have the potential to steal vital information and …
constant network access. These threats have the potential to steal vital information and …