[HTML][HTML] An in-depth review of machine learning based Android malware detection
It is estimated that around 70% of mobile phone users have an Android device. Due to this
popularity, the Android operating system attracts a lot of malware attacks. The sensitive …
popularity, the Android operating system attracts a lot of malware attacks. The sensitive …
A survey of malware detection in Android apps: Recommendations and perspectives for future research
Android has dominated the smartphone market and has become the most popular operating
system for mobile devices. However, security threats in Android applications have also …
system for mobile devices. However, security threats in Android applications have also …
Malware analysis in IoT & android systems with defensive mechanism
CS Yadav, J Singh, A Yadav, HS Pattanayak, R Kumar… - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) and the Android operating system have made cutting-edge
technology accessible to the general public. These are affordable, easy-to-use, and open …
technology accessible to the general public. These are affordable, easy-to-use, and open …
Intelligent mobile malware detection using permission requests and API calls
Malware is a serious threat that has been used to target mobile devices since its inception.
Two types of mobile malware attacks are standalone: fraudulent mobile apps and injected …
Two types of mobile malware attacks are standalone: fraudulent mobile apps and injected …
Robust deep learning early alarm prediction model based on the behavioural smell for android malware
E Amer, S El-Sappagh - Computers & Security, 2022 - Elsevier
Due to the widespread expansion of the Android malware industry, malicious Android
processes mining became a necessity to understand their behavior. Nevertheless, due to …
processes mining became a necessity to understand their behavior. Nevertheless, due to …
Malicious application detection in android—a systematic literature review
Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …
gadgets became an essential necessity of day-to-day life. People are using new …
Constructing features for detecting android malicious applications: issues, taxonomy and directions
The number of applications (apps) available for smart devices or Android based IoT (Internet
of Things) has surged dramatically over the past few years. Meanwhile, the volume of ill …
of Things) has surged dramatically over the past few years. Meanwhile, the volume of ill …
[HTML][HTML] On machine learning effectiveness for malware detection in Android OS using static analysis data
V Syrris, D Geneiatakis - Journal of Information Security and Applications, 2021 - Elsevier
Although various security mechanisms have been introduced in Android operating system in
order to enhance its robustness, sheer protection remains an open issue: malicious …
order to enhance its robustness, sheer protection remains an open issue: malicious …
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 …
An Android malware detection system based on machine learning
L Wen, H Yu - AIP conference proceedings, 2017 - pubs.aip.org
The Android smartphone, with its open source character and excellent performance, has
attracted many users. However, the convenience of the Android platform also has motivated …
attracted many users. However, the convenience of the Android platform also has motivated …