Results 31 to 40 of about 267,105 (355)
Artificial Intelligence Algorithms for Malware Detection in Android-Operated Mobile Devices
Italian National Conference on Sensors, 2022 With the rapid expansion of the use of smartphone devices, malicious attacks against Android mobile devices have increased. The Android system adopted a wide range of sensitive applications such as banking applications; therefore, it is becoming the ...
Hasan Alkahtani, Theyazn H. H. Aldhyani
semanticscholar +1 more source
Warta Pengabdian Andalas, 2023 Android is a platform for smartphones that can be used anytime and anywhere. Smartphones can be felt in various aspects of human life, especially in education, as a medium of learning material between teachers and students.
Rahmatika Pratama Santi +6 more
doaj +1 more source
LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers
IEEE Access, 2022 In this study, a framework for Android malware detection based on permissions is presented. This framework uses multiple linear regression methods. Application permissions, which are one of the most critical building blocks in the security of the Android
Durmuş Özkan Şahın +2 more
semanticscholar +1 more source
Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware
Conference on Computer and Communications Security, 2020 Machine learning (ML) classifiers have been widely deployed to detect Android malware, but at the same time the application of ML classifiers also faces an emerging problem.
Xiaohan Zhang +7 more
semanticscholar +1 more source
Sleeping with an Android [PDF]
mHealth, 2017 Sleep quality and duration are strong indicators of an individual's health and quality of lifebut they are difficult to track in everyday life. Mobile apps such as Sleep as Android leverage smartphone sensors to track sleep patterns and make recommendations to improve sleeping habits.
openaire +2 more sources
Malware Analysis in IoT & Android Systems with Defensive Mechanism
Electronics, 2022 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-source technology.
Chandra Shekhar Yadav +8 more
semanticscholar +1 more source
nextcloud/android: 3.17.0 RC3 [PDF]
, 2021 3.17.0 RC3 (August, 11, 2021) UI improvements (Avatar, password dialog) New video player for better streaming Many bug fixes Minimum: NC 16 Server, Android 5.1 Lollipop For a full list, please see https://github.com/nextcloud/android/milestone ...
Kilian Périsset +30 more
core +1 more source
Significant Permission Identification for Machine-Learning-Based Android Malware Detection
IEEE Transactions on Industrial Informatics, 2018 The alarming growth rate of malicious apps has become a serious issue that sets back the prosperous mobile ecosystem. A recent report indicates that a new malicious app for Android is introduced every 10 s.
Jin Li +5 more
semanticscholar +1 more source
PENERAPAN KONSEP GEOTAGGING PADA APLIKASI TANGGAP DARURAT BENCANA BERBASIS ANDROID
JSiI (Jurnal Sistem Informasi), 2019 Abstrak— Saat ini aplikasi mobile berbasis android telah banyak digunakan seiring semakin banyaknya perangkat smartphone android. Namun penyampaian informasi khususnya informasi bencana di majalengka masih saja belum tersampaikan dengan baik.
Nunu Nurdiana +2 more
doaj +1 more source
An Automated Vision-Based Deep Learning Model for Efficient Detection of Android Malware Attacks
IEEE Access, 2022 Recently, cybersecurity experts and researchers have given special attention to developing cost-effective deep learning (DL)-based algorithms for Android malware detection (AMD) systems.
Iman M. Almomani +2 more
semanticscholar +1 more source