Machine learning and deep learning techniques for detecting malicious android applications: An empirical analysis
The open system architecture of android makes it vulnerable to a variety of cyberattacks.
Cybercriminals use android applications to intrude into the system and steal confidential …
Cybercriminals use android applications to intrude into the system and steal confidential …
[PDF][PDF] Outsmarting Android Malware with Cutting-Edge Feature Engineering and Machine Learning Techniques.
The growing usage of Android smartphones has led to a significant rise in incidents of
Android malware and privacy breaches. This escalating security concern necessitates the …
Android malware and privacy breaches. This escalating security concern necessitates the …
DCEL: Classifier Fusion Model for Android Malware Detection
X Xu, S Jiang, J Zhao, X Wang - Journal of Systems …, 2024 - ieeexplore.ieee.org
The rapid growth of mobile applications, the popularity of the Android system and its
openness have attracted many hackers and even criminals, who are creating lots of Android …
openness have attracted many hackers and even criminals, who are creating lots of Android …
Android Malware Analysis using Coefficient of Multiple Correlation
S Jain, S Kapoor, A Arora… - 2023 IEEE Symposium …, 2023 - ieeexplore.ieee.org
Android being the most famous Operating System (OS) for smart hand-held devices also
serves as a prime attraction for cyber-criminals and black hat hackers. Hacking into these …
serves as a prime attraction for cyber-criminals and black hat hackers. Hacking into these …
Optimizing Android Program Malware Classification Using GridSearchCV Optimized Random Forest
The growing number of smartphones, particularly Android powered ones, has increased
public awareness of the security concerns posed by malware and viruses. While machine …
public awareness of the security concerns posed by malware and viruses. While machine …