Android (operating system) ≈ Android (operating system)
View article
Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis Open
Background Understanding patterns of real-world usage of mental health apps is key to maximizing their potential to increase public self-management of care. Although developer-led studies have published results on the use of mental health …
View article
AndroZoo Open
peer reviewed
View article
Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review Open
Background Mobile health (mHealth) app use is a major concern because of the possible dissemination of misinformation that could harm the users. Particularly, it can be difficult for health care professionals to recommend a suitable app fo…
View article
Deep Android Malware Detection Open
In this paper, we propose a novel android malware detection system that uses a deep convolutional neural network (CNN). Malware classification is performed based on static analysis of the raw opcode sequence from a disassembled program. Fe…
View article
UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones Open
Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being increasingly used to monitor human activities. Data acquired by the hosted sensors are usually processed by machine-learning-based algorithms to classify hu…
View article
Droiddetector: android malware characterization and detection using deep learning Open
Smartphones and mobile tablets are rapidly becoming indispensable in daily life. Android has been the most popular mobile operating system since 2012. However, owing to the open nature of Android, countless malwares are hidden in a large n…
View article
Rico Open
Data-driven models help mobile app designers understand best practices and trends, and can be used to make predictions about design performance and support the creation of adaptive UIs. This paper presents Rico, the largest repository of m…
View article
MADAM: Effective and Efficient Behavior-based Android Malware Detection and Prevention Open
Android users are constantly threatened by an increasing number of malicious applications (apps), generically called malware. Malware constitutes a serious threat to user privacy, money, device and file integrity. In this paper we note tha…
View article
DL-Droid: Deep learning based android malware detection using real devices Open
The Android operating system has been the most popular for smartphones and\ntablets since 2012. This popularity has led to a rapid raise of Android malware\nin recent years. The sophistication of Android malware obfuscation and\ndetection …
View article
MalDozer: Automatic framework for android malware detection using deep learning Open
Android OS experiences a blazing popularity since the last few years. This predominant platform has established itself not only in the mobile world but also in the Internet of Things (IoT) devices. This popularity, however, comes at the ex…
View article
BLE Beacons for Internet of Things Applications: Survey, Challenges, and Opportunities Open
While the Internet of Things (IoT) is driving a transformation of current society towards a smarter one, new challenges and opportunities have arisen to accommodate the demands of IoT development. Low power wireless devices are, undoubtedl…
View article
The Evolution of Android Malware and Android Analysis Techniques Open
With the integration of mobile devices into daily life, smartphones are privy to increasing amounts of sensitive information. Sophisticated mobile malware, particularly Android malware, acquire or utilize such data without user consent. It…
View article
A Review of Android Malware Detection Approaches Based on Machine Learning Open
Android applications are developing rapidly across the mobile ecosystem, but Android malware is also emerging in an endless stream. Many researchers have studied the problem of Android malware detection and have put forward theories and me…
View article
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning\n Detection Open
Machine learning based solutions have been successfully employed for\nautomatic detection of malware on Android. However, machine learning models\nlack robustness to adversarial examples, which are crafted by adding carefully\nchosen pertu…
View article
Detecting crypto-ransomware in IoT networks based on energy consumption footprint Open
An Internet of Things (IoT) architecture generally consists of a wide range of Internet-connected devices or things such as Android devices, and devices that have more computational capabilities (e.g., storage capacities) are likely to be …
View article
Exploiting and Defending Open Digital Platforms with Boundary Resources: Android’s Five Platform Forks Open
Digital platforms can be opened in two ways to promote innovation and value generation. A platform owner can open access for third-party participants by establishing boundary resources, such as APIs and an app store, to allow complements t…
View article
AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection Open
© 2016 Elsevier Ltd The wide popularity of Android systems has been accompanied by increase in the number of malware targeting these systems. This is largely due to the open nature of the Android framework that facilitates the incorporatio…
View article
Improving Indoor Localization Using Bluetooth Low Energy Beacons Open
The paper describes basic principles of a radio-based indoor localization and focuses on the improvement of its results with the aid of a new Bluetooth Low Energy technology. The advantage of this technology lies in its support by contempo…
View article
Driver behavior profiling: An investigation with different smartphone sensors and machine learning Open
Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated collection of…
View article
Young Children’s Use of Smartphones and Tablets Open
BACKGROUND AND OBJECTIVES: Child mobile device use is increasingly prevalent, but research is limited by parent-report survey methods that may not capture the complex ways devices are used. We aimed to implement mobile device sampling, a s…
View article
Pengembangan Media Pembelajaran Fisika Mobile Learning berbasis Android Open
Physics topic about pressure sometime feels abstract for students. For solution about abtract problem the students, needed media learning can explain physics topic is with mobile learning with android. Almost all the students have smartpho…
View article
SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning Open
This paper presents SmartFall, an Android app that uses accelerometer data collected from a commodity-based smartwatch Internet of Things (IoT) device to detect falls. The smartwatch is paired with a smartphone that runs the SmartFall appl…
View article
IntelliDroid: A Targeted Input Generator for the Dynamic Analysis of Android Malware Open
While dynamic malware analysis methods generally \nprovide better precision than purely static methods, they have the \nkey drawback that they can only detect malicious behavior if it \nis executed during analysis. This requires inputs tha…
View article
Beyond throughput, the next generation Open
In this paper, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns (video streaming and file download). The d…
View article
AlexNet Convolutional Neural Network for Disease Detection and Classification of Tomato Leaf Open
With limited retrieval of reserves and restricted capability in plant pathology, automation of processes becomes essential. All over the world, farmers are struggling to prevent various harm from bacteria or pathogens such as viruses, fung…
View article
A Novel Dynamic Android Malware Detection System With Ensemble Learning Open
With the popularity of Android smartphones, malicious applications targeted Android platform have explosively increased. Proposing effective Android malware detection method for preventing the spread of malware has become an emerging issue…
View article
Automated Testing of Android Apps: A Systematic Literature Review Open
peer reviewed
View article
Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor Open
Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - primarily in the fields of environmental compatibility, sports injury detection, senior care, rehabilitation, entertainment, and the surveilla…
View article
Armageddon: Cache Attacks On Mobile Devices Open
In the last 10 years, cache attacks on Intel x86 CPUs have gained increasing attention among the scientific community and powerful techniques to exploit cache side channels have been developed. However, modern smartphones use one or more m…
View article
Virtual Physics Laboratory Application Based on the Android Smartphone to Improve Learning Independence and Conceptual Understanding Open
The research study concerned here was to: (1) produce a virtual physics laboratory application to be called ViPhyLab by using the Android smartphone as basis; (2) determine the appropriateness and quality of the virtual physics laboratory …