Significant permission identification for machine-learning-based android malware detection
The alarming growth rate of malicious apps has become a serious issue that sets back the
prosperous mobile ecosystem. A recent report indicates that a new malicious app for …
prosperous mobile ecosystem. A recent report indicates that a new malicious app for …
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 …
Detecting Android malicious apps and categorizing benign apps with ensemble of classifiers
Android platform has dominated the markets of smart mobile devices in recent years. The
number of Android applications (apps) has seen a massive surge. Unsurprisingly, Android …
number of Android applications (apps) has seen a massive surge. Unsurprisingly, Android …
Droidfusion: A novel multilevel classifier fusion approach for android malware detection
Android malware has continued to grow in volume and complexity posing significant threats
to the security of mobile devices and the services they enable. This has prompted increasing …
to the security of mobile devices and the services they enable. This has prompted increasing …
DroidEnsemble: Detecting Android malicious applications with ensemble of string and structural static features
Android platform has dominated the operating system of mobile devices. However, the
dramatic increase of Android malicious applications (malapps) has caused serious software …
dramatic increase of Android malicious applications (malapps) has caused serious software …
Malware threats and detection for industrial mobile-IoT networks
Industrial IoT networks deploy heterogeneous IoT devices to meet a wide range of user
requirements. These devices are usually pooled from private or public IoT cloud providers. A …
requirements. These devices are usually pooled from private or public IoT cloud providers. A …
An in-depth analysis of Android malware using hybrid techniques
AT Kabakus, IA Dogru - Digital Investigation, 2018 - Elsevier
Android malware is widespread despite the effort provided by Google in order to prevent it
from the official application market, Play Store. Two techniques namely static and dynamic …
from the official application market, Play Store. Two techniques namely static and dynamic …
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 …
Abstracting massive data for lightweight intrusion detection in computer networks
Anomaly intrusion detection in big data environments calls for lightweight models that are
able to achieve real-time performance during detection. Abstracting audit data provides a …
able to achieve real-time performance during detection. Abstracting audit data provides a …
Hybrid Android malware detection by combining supervised and unsupervised learning
Permissions and the network traffic features are the widely used attributes in static and
dynamic Android malware detection respectively. However, static permissions cannot detect …
dynamic Android malware detection respectively. However, static permissions cannot detect …