Machine learning aided malware detection for secure and smart manufacturing: a comprehensive analysis of the state of the art
In the last decade, the number of computer malware has grown rapidly. Currently,
cybercriminals typically use malicious software (malware) as a means of attacking industrial …
cybercriminals typically use malicious software (malware) as a means of attacking industrial …
[HTML][HTML] 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] MalDozer: Automatic framework for android malware detection using deep learning
Android OS experiences a blazing popularity since the last few years. This predominant
platform has established itself not only in the mobile world but also in the Internet of Things …
platform has established itself not only in the mobile world but also in the Internet of Things …
A novel dynamic android malware detection system with ensemble learning
With the popularity of Android smartphones, malicious applications targeted Android
platform have explosively increased. Proposing effective Android malware detection method …
platform have explosively increased. Proposing effective Android malware detection method …
[HTML][HTML] Artificial intelligence algorithms for malware detection in android-operated mobile devices
With the rapid expansion of the use of smartphone devices, malicious attacks against
Android mobile devices have increased. The Android system adopted a wide range of …
Android mobile devices have increased. The Android system adopted a wide range of …
A performance-sensitive malware detection system using deep learning on mobile devices
Currently, Android malware detection is mostly performed on server side against the
increasing number of malware. Powerful computing resource provides more exhaustive …
increasing number of malware. Powerful computing resource provides more exhaustive …
An effective end-to-end android malware detection method
H Zhu, H Wei, L Wang, Z Xu, VS Sheng - Expert Systems with Applications, 2023 - Elsevier
Android has rapidly become the most popular mobile operating system because of its open
source, rich hardware selectivity, and millions of applications (Apps). Meanwhile, the open …
source, rich hardware selectivity, and millions of applications (Apps). Meanwhile, the open …
Constructing features for detecting android malicious applications: issues, taxonomy and directions
The number of applications (apps) available for smart devices or Android based IoT (Internet
of Things) has surged dramatically over the past few years. Meanwhile, the volume of ill …
of Things) has surged dramatically over the past few years. Meanwhile, the volume of ill …
Android malware obfuscation variants detection method based on multi-granularity opcode features
Android malware poses a serious security threat to ordinary mobile users. However, the
obfuscation technology can generate malware variants, which can bypass existing detection …
obfuscation technology can generate malware variants, which can bypass existing detection …
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 …