[HTML][HTML] DL-Droid: Deep learning based android malware detection using real devices
The Android operating system has been the most popular for smartphones and tablets since
2012. This popularity has led to a rapid raise of Android malware in recent years. The …
2012. This popularity has led to a rapid raise of Android malware in recent years. The …
Deep android malware detection
In this paper, we propose a novel android malware detection system that uses a deep
convolutional neural network (CNN). Malware classification is performed based on static …
convolutional neural network (CNN). Malware classification is performed based on static …
Deep learning methods for malware and intrusion detection: A systematic literature review
Android and Windows are the predominant operating systems used in mobile environment
and personal computers and it is expected that their use will rise during the next decade …
and personal computers and it is expected that their use will rise during the next decade …
Machine learning aided Android malware classification
The widespread adoption of Android devices and their capability to access significant
private and confidential information have resulted in these devices being targeted by …
private and confidential information have resulted in these devices being targeted by …
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 …
N-opcode analysis for android malware classification and categorization
Malware detection is a growing problem particularly on the Android mobile platform due to
its increasing popularity and accessibility to numerous third party app markets. This has also …
its increasing popularity and accessibility to numerous third party app markets. This has also …
Emulator vs real phone: Android malware detection using machine learning
The Android operating system has become the most popular operating system for
smartphones and tablets leading to a rapid rise in malware. Sophisticated Android malware …
smartphones and tablets leading to a rapid rise in malware. Sophisticated Android malware …
A deep learning system for health care IoT and smartphone malware detection
The use of smart and connected devices, such as Android and Internet of Things (IoT) have
increased exponentially. In the last 10 years, mobiles and IoT devices have surpassed PC's …
increased exponentially. In the last 10 years, mobiles and IoT devices have surpassed PC's …
Machine learning-based dynamic analysis of Android apps with improved code coverage
This paper investigates the impact of code coverage on machine learning-based dynamic
analysis of Android malware. In order to maximize the code coverage, dynamic analysis on …
analysis of Android malware. In order to maximize the code coverage, dynamic analysis on …
A lightweight android malware classifier using novel feature selection methods
Smartphones and mobile tablets play significant roles in daily life and have led to an
increase in the number of users of this technology. The rising number of mobile device end …
increase in the number of users of this technology. The rising number of mobile device end …