A Systematic Literature Review of Android Malware Detection Using Static Analysis
IEEE Access, 2020 Android malware has been in an increasing trend in recent years due to the pervasiveness of Android operating system. Android malware is installed and run on the smartphones without explicitly prompting the users or without the user's permission, and it ...
Ya Pan +3 more
doaj +1 more source
Android malware category detection using a novel feature vector-based machine learning model
Cybersecurity, 2023 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 actively create and disseminate a wide range of malware on Android ...
Hashida Haidros Rahima Manzil +1 more
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Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles. [PDF]
Sci RepWith the growing popularity of autonomous vehicles (AVs), confirming their safety has become a significant concern. Vehicle manufacturers have combined the Android operating system into AVs to improve consumer comfort.
Almakayeel N.
europepmc +2 more sources
Android malicious attacks detection models using machine learning techniques based on permissions [PDF]
International Journal of Data and Network Science, 2023 The Android operating system is the most used mobile operating system in the world, and it is one of the most popular operating systems for different kinds of devices from smartwatches, IoT, and TVs to mobiles and cockpits in cars.
Mousa AL-Akhras +4 more
doaj +1 more source
Classification and Analysis of Android Malware Images Using Feature Fusion Technique
IEEE Access, 2021 The super packed functionalities and artificial intelligence (AI)-powered applications have made the Android operating system a big player in the market.
Jaiteg Singh +5 more
doaj +1 more source
A Hybrid Approach for Android Malware Detection and Family Classification.
International Journal of Interactive Multimedia and Artificial Intelligence, 2021 With the increase in the popularity of mobile devices, malicious applications targeting Android platform have greatly increased. Malware is coded so prudently that it has become very complicated to identify.
Meghna Dhalaria, Ekta Gandotra
doaj +1 more source
A Comprehensive Review of Android Malware Detection Techniques [PDF]
E3S Web of ConferencesThe Android malware is at peak with overwhelming ubiquity of the Android Operating Systems. Malware creators have been using and devising different novel strategies to build Android apps that are malicious that are capable of creating severe damages to ...
Singh Divyanshu +3 more
doaj +1 more source
PACER: Platform for Android Malware Classification, Performance Evaluation and Threat Reporting
Future Internet, 2020 Android malware has become the topmost threat for the ubiquitous and useful Android ecosystem. Multiple solutions leveraging big data and machine-learning capabilities to detect Android malware are being constantly developed.
Ajit Kumar +5 more
doaj +1 more source
A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning
IEEE Access, 2022 The computers nowadays are being replaced by the smartphones for the most of the internet users around the world, and Android is getting the most of the smartphone systems’ market.
Mulhem Ibrahim +2 more
doaj +1 more source
A comprehensive review of Android malware: trends, behaviors, taxonomies, and future direction [PDF]
PeerJ Computer ScienceThe increasing prevalence of malicious applications targeting the Android operating system has intensified security challenges in recent years. As Android’s popularity continues to grow, it not only attracts users but also becomes a prime target for ...
Collins Uchenna Chimeleze +2 more
doaj +2 more sources