[HTML][HTML] Android malware classification using optimized ensemble learning based on genetic algorithms
The continuous increase in Android malware applications (apps) represents a significant
danger to the privacy and security of users' information. Therefore, effective and efficient …
danger to the privacy and security of users' information. Therefore, effective and efficient …
[HTML][HTML] Android malware classification using optimum feature selection and ensemble machine learning
The majority of smartphones on the market run on the Android operating system. Security
has been a core concern with this platform since it allows users to install apps from unknown …
has been a core concern with this platform since it allows users to install apps from unknown …
A robust malware detection approach for android system based on ensemble learning
As the number of mobile devices which is based on the Android system continues to grow
rapidly, it becomes a primary target for security exploitation through undesirable malicious …
rapidly, it becomes a primary target for security exploitation through undesirable malicious …
Evaluation of advanced ensemble learning techniques for Android malware detection
Android is the most well-known portable working framework having billions of dynamic
clients worldwide that pulled in promoters, programmers, and cybercriminals to create …
clients worldwide that pulled in promoters, programmers, and cybercriminals to create …
Optimizing android malware detection via ensemble learning
A Christianah, B Gyunka, A Oluwatobi - 2020 - learntechlib.org
Android operating system has become very popular, with the highest market share, amongst
all other mobile operating systems due to its open source nature and users friendliness. This …
all other mobile operating systems due to its open source nature and users friendliness. This …
[HTML][HTML] Android malware category detection using a novel feature vector-based machine learning model
HHR Manzil, S Manohar Naik - Cybersecurity, 2023 - Springer
Malware attacks on the Android platform are rapidly increasing due to the high consumer
adoption of Android smartphones. Advanced technologies have motivated cyber-criminals to …
adoption of Android smartphones. Advanced technologies have motivated cyber-criminals to …
Android malware classification: Updating features through incremental learning approach (ufila)
exponential growth of the use of connected objects, in particular of smartphones, is the
consequence of the digitization of services. All types of applications, from the least critical to …
consequence of the digitization of services. All types of applications, from the least critical to …
Discovering optimal features using static analysis and a genetic search based method for Android malware detection
Mobile device manufacturers are rapidly producing miscellaneous Android versions
worldwide. Simultaneously, cyber criminals are executing malicious actions, such as …
worldwide. Simultaneously, cyber criminals are executing malicious actions, such as …
Stacking-based ensemble model for malware detection in android devices
Abstract Android Operating Systems (OS) are popular due to their open-source availability
and easy user interface. This makes them vulnerable to various security attacks so it is …
and easy user interface. This makes them vulnerable to various security attacks so it is …
Permission-based android malware detection system using feature selection with genetic algorithm
As the use of smartphones increases, Android, as a Linux-based open source mobile
operating system (OS), has become the most popular mobile OS in time. Due to the …
operating system (OS), has become the most popular mobile OS in time. Due to the …