A review of android malware detection approaches based on machine learning
K Liu, S Xu, G Xu, M Zhang, D Sun, H Liu - IEEE access, 2020 - ieeexplore.ieee.org
Android applications are developing rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …
malware is also emerging in an endless stream. Many researchers have studied the …
The rise of “blockchain”: bibliometric analysis of blockchain study
The blockchain is a technology which accumulates and compiles data into a chain of
multiple blocks. Many blockchain researchers are adopting it in multiple areas. However …
multiple blocks. Many blockchain researchers are adopting it in multiple areas. However …
Malware analysis and detection using machine learning algorithms
MS Akhtar, T Feng - Symmetry, 2022 - mdpi.com
One of the most significant issues facing internet users nowadays is malware. Polymorphic
malware is a new type of malicious software that is more adaptable than previous …
malware is a new type of malicious software that is more adaptable than previous …
A systematic literature review of android malware detection using static analysis
Android malware has been in an increasing trend in recent years due to the pervasiveness
of Android operating system. Android malware is installed and run on the smartphones …
of Android operating system. Android malware is installed and run on the smartphones …
Malicious application detection in android—a systematic literature review
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 …
gadgets became an essential necessity of day-to-day life. People are using new …
Paired: An explainable lightweight android malware detection system
With approximately 2 billion active devices, the Android operating system tops all other
operating systems in terms of the number of devices using it. Android has gained wide …
operating systems in terms of the number of devices using it. Android has gained wide …
[HTML][HTML] DL-AMDet: Deep learning-based malware detector for android
The Android operating system, with its market share leadership and open-source nature in
smartphones, has become the primary target of malware. However, detecting malicious …
smartphones, has become the primary target of malware. However, detecting malicious …
Effective combining of feature selection techniques for machine learning-enabled IoT intrusion detection
The rapid advancement of technologies has enabled businesses to carryout their activities
seamlessly and revolutionised communications across the globe. There is a significant …
seamlessly and revolutionised communications across the globe. There is a significant …
Android malware detection using genetic algorithm based optimized feature selection and machine learning
Android platform due to open source characteristic and Google backing has the largest
global market share. Being the world's most popular operating system, it has drawn the …
global market share. Being the world's most popular operating system, it has drawn the …
Android malware detection using machine learning with feature selection based on the genetic algorithm
J Lee, H Jang, S Ha, Y Yoon - Mathematics, 2021 - mdpi.com
Since the discovery that machine learning can be used to effectively detect Android
malware, many studies on machine learning-based malware detection techniques have …
malware, many studies on machine learning-based malware detection techniques have …