Android source code vulnerability detection: a systematic literature review
The use of mobile devices is rising daily in this technological era. A continuous and
increasing number of mobile applications are constantly offered on mobile marketplaces to …
increasing number of mobile applications are constantly offered on mobile marketplaces to …
Android mobile malware detection using machine learning: A systematic review
With the increasing use of mobile devices, malware attacks are rising, especially on Android
phones, which account for 72.2% of the total market share. Hackers try to attack …
phones, which account for 72.2% of the total market share. Hackers try to attack …
[HTML][HTML] Kronodroid: time-based hybrid-featured dataset for effective android malware detection and characterization
Android malware evolution has been neglected by the available data sets, thus providing a
static snapshot of a non-stationary phenomenon. The impact of the time variable has not had …
static snapshot of a non-stationary phenomenon. The impact of the time variable has not had …
Android malware detection based on multi-head squeeze-and-excitation residual network
H Zhu, W Gu, L Wang, Z Xu, VS Sheng - Expert Systems with Applications, 2023 - Elsevier
The popularity and flexibility of the Android platform makes it the primary target of malicious
attackers. The behaviors of malware, such as malicious charges and privacy theft, pose …
attackers. The behaviors of malware, such as malicious charges and privacy theft, pose …
[HTML][HTML] Machine learning for android malware detection: mission accomplished? a comprehensive review of open challenges and future perspectives
A Guerra-Manzanares - Computers & Security, 2024 - Elsevier
The extensive research in machine learning based Android malware detection showcases
high-performance metrics through a wide range of proposed solutions. Consequently, this …
high-performance metrics through a wide range of proposed solutions. Consequently, this …
Wolf at the door: Preventing install-time attacks in npm with latch
The npm software ecosystem allows developers to easily import code written by others.
However, manual vetting of every individual installed component is made difficult in many …
However, manual vetting of every individual installed component is made difficult in many …
MFDroid: A stacking ensemble learning framework for Android malware detection
X Wang, L Zhang, K Zhao, X Ding, M Yu - Sensors, 2022 - mdpi.com
As Android is a popular a mobile operating system, Android malware is on the rise, which
poses a great threat to user privacy and security. Considering the poor detection effects of …
poses a great threat to user privacy and security. Considering the poor detection effects of …
AndroMalPack: enhancing the ML-based malware classification by detection and removal of repacked apps for Android systems
Due to the widespread usage of Android smartphones in the present era, Android malware
has become a grave security concern. The research community relies on publicly available …
has become a grave security concern. The research community relies on publicly available …
IMCLNet: A lightweight deep neural network for Image-based Malware Classification
B Zou, C Cao, F Tao, L Wang - Journal of Information Security and …, 2022 - Elsevier
With the increasing number of malware and advanced evasion technology, it is more and
more difficult to detect malware accurately and efficiently. To solve this challenge, a feasible …
more difficult to detect malware accurately and efficiently. To solve this challenge, a feasible …
GIWRF-SMOTE: Gini impurity-based weighted random forest with SMOTE for effective malware attack and anomaly detection in IoT-Edge
J Manokaran, G Vairavel - Smart Science, 2023 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) is a smart technology that has switched the
conventional way of living into smart living. As their usage becomes unavoidable, malware …
conventional way of living into smart living. As their usage becomes unavoidable, malware …