[PDF][PDF] The significance of machine learning and deep learning techniques in cybersecurity: A comprehensive review
People in the modern era spend most of their lives in virtual environments that offer a range
of public and private services and social platforms. Therefore, these environments need to …
of public and private services and social platforms. Therefore, these environments need to …
[HTML][HTML] 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 …
A system call-based android malware detection approach with homogeneous & heterogeneous ensemble machine learning
The enormous popularity of Android in the smartphone market has gained the attention of
malicious actors as well. Also, considering its open system architecture, malicious attacks …
malicious actors as well. Also, considering its open system architecture, malicious attacks …
[PDF][PDF] Two-stage hybrid malware detection using deep learning
With the increasing number and variety of Internet of Things (IoT) devices supporting a wide
range of services such as smart homes, smart transportation, and smart factories in smart …
range of services such as smart homes, smart transportation, and smart factories in smart …
Malware detection: a framework for reverse engineered android applications through machine learning algorithms
Today, Android is one of the most used operating systems in smartphone technology. This is
the main reason, Android has become the favorite target for hackers and attackers …
the main reason, Android has become the favorite target for hackers and attackers …
[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 …
An effective end-to-end android malware detection method
H Zhu, H Wei, L Wang, Z Xu, VS Sheng - Expert Systems with Applications, 2023 - Elsevier
Android has rapidly become the most popular mobile operating system because of its open
source, rich hardware selectivity, and millions of applications (Apps). Meanwhile, the open …
source, rich hardware selectivity, and millions of applications (Apps). Meanwhile, the open …
[HTML][HTML] Feature subset selection for malware detection in smart IoT platforms
Malicious software (“malware”) has become one of the serious cybersecurity issues in
Android ecosystem. Given the fast evolution of Android malware releases, it is practically not …
Android ecosystem. Given the fast evolution of Android malware releases, it is practically not …
[HTML][HTML] The rise of obfuscated Android malware and impacts on detection methods
The various application markets are facing an exponential growth of Android malware. Every
day, thousands of new Android malware applications emerge. Android malware hackers …
day, thousands of new Android malware applications emerge. Android malware hackers …
Detection approaches for android malware: Taxonomy and review analysis
HHR Manzil, SM Naik - Expert Systems with Applications, 2023 - Elsevier
The main objective of this review is to present an in-depth study of Android malware
detection approaches. This article provides a comprehensive survey of 150 studies on …
detection approaches. This article provides a comprehensive survey of 150 studies on …