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 …
Machine learning-powered encrypted network traffic analysis: A comprehensive survey
Traffic analysis is the process of monitoring network activities, discovering specific patterns,
and gleaning valuable information from network traffic. It can be applied in various fields …
and gleaning valuable information from network traffic. It can be applied in various fields …
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 …
NTPDroid: a hybrid android malware detector using network traffic and system permissions
A Arora, SK Peddoju - … conference on trust, security and privacy …, 2018 - ieeexplore.ieee.org
Two kinds of techniques, namely Static and Dynamic Analysis, have been proposed in the
literature to detect Android malware. Permissions and Network Traffic are the widely used …
literature to detect Android malware. Permissions and Network Traffic are the widely used …
Detecting Android locker-ransomware on chinese social networks
In recent years, an increasing amount of locker-ransomware has been posing a great threat
to the Android platform as well as users' properties. Locker-ransomware blackmails victims …
to the Android platform as well as users' properties. Locker-ransomware blackmails victims …
Mobile botnet detection: a comprehensive survey
The number of people using mobile devices is increasing as mobile devices offer different
features and services. Many mobile users install various applications on their mobile …
features and services. Many mobile users install various applications on their mobile …
A systematic overview of the machine learning methods for mobile malware detection
Y Kim, JJ Lee, MH Go, HY Kang… - Security and …, 2022 - Wiley Online Library
With the deployment of the 5G cellular system, the upsurge of diverse mobile applications
and devices has increased the potential challenges and threats posed to users. Industry and …
and devices has increased the potential challenges and threats posed to users. Industry and …
NSDroid: efficient multi-classification of android malware using neighborhood signature in local function call graphs
P Liu, W Wang, X Luo, H Wang, C Liu - International Journal of Information …, 2021 - Springer
With the rapid development of mobile Internet, Android applications are used more and
more in people's daily life. While bringing convenience and making people's life smarter …
more in people's daily life. While bringing convenience and making people's life smarter …
An Android malware detection approach to enhance node feature differences in a function call graph based on GCNs
H Wu, N Luktarhan, G Tian, Y Song - Sensors, 2023 - mdpi.com
The smartphone has become an indispensable tool in our daily lives, and the Android
operating system is widely installed on our smartphones. This makes Android smartphones …
operating system is widely installed on our smartphones. This makes Android smartphones …