Results 1 to 10 of about 27,554,039 (290)

Efficient Concept Drift Handling for Batch Android Malware Detection Models [PDF]

open access: yesPervasive and Mobile Computing, 2023
The rapidly evolving nature of Android apps poses a significant challenge to static batch machine learning algorithms employed in malware detection systems, as they quickly become obsolete.
Borja Molina-Coronado   +3 more
semanticscholar   +1 more source

POSIX.1 conformance For Android Applications [PDF]

open access: yesInternational Journal of Advanced Computer Science and Applications, 2013
Android operating system is designed for use in mobile computing by The Open Handset Alliance. Android market has hundreds of thousands of Android applications and these applications are restricted only to the mobiles. This restriction is mainly because of portability and compatibility issues of Android operating system.
Tayyaba Nafees, Prof. Dr.
openaire   +1 more source

Development of Mobile Learning Applications for Android Based on Artificial Intelligence

open access: yesInternational Transactions on Artificial Intelligence (ITALIC), 2023
In order to enable students to study autonomously and without being constrained by time and distance, this research was done to design an M-Learning learning media based on learning media on artificial intelligence. constrained by time and space, as well
Tatik Mariyanti
semanticscholar   +1 more source

Android Ransomware Detection Using Supervised Machine Learning Techniques Based on Traffic Analysis

open access: yesItalian National Conference on Sensors, 2023
In today’s digitalized era, the usage of Android devices is being extensively witnessed in various sectors. Cybercriminals inevitably adapt to new security technologies and utilize these platforms to exploit vulnerabilities for nefarious purposes, such ...
Amnah Albin Ahmed   +5 more
semanticscholar   +1 more source

Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning [PDF]

open access: yesComputers & security, 2022
As in other cybersecurity areas, machine learning (ML) techniques have emerged as a promising solution to detect Android malware. In this sense, many proposals employing a variety of algorithms and feature sets have been presented to date, often ...
Borja Molina-Coronado   +3 more
semanticscholar   +1 more source

ANDIN-MU: Development of Android-Based Descriptive Text Interactive Multimedia Materials in High School English Subjects

open access: yesAssyfa Learning Journal, 2023
In learning there is a process of changing the behavior of a person who is initially unaware of something then becomes aware. In other words, there is a process of conveying knowledge between teachers and students or using learning materials. The purpose
Mohammedalameen Ahmed, N. Kumalasari
semanticscholar   +1 more source

Development of Interactive e-modules Based on Local Wisdom Using Android to Improve Students' Higher Order Thinking Skills (HOTS)

open access: yesJurnal Penelitian Pendidikan IPA, 2023
This research aims to test the feasibility of an interactive e-module based on local wisdom using an Android application to increase students' HOTS in circular motion material according to teachers and lecturers and analyze the increase in students' HOTS
Lalu Usman Ali, Muhammad Zaini
semanticscholar   +1 more source

Development of an Android-Based Mobile Learning Module to Improve the Students Critical Thinking Skills

open access: yesJurnal Penelitian Pendidikan IPA, 2023
Development of an Android-Based Mobile Learning Module to Improve Critical Thinking Skills of Junior High School. This study's purpose to specify the validity, practicality, and effectiveness of an android-based mobile learning module on simple ventures ...
Lu'ailik Nafisa Nuri Nuri   +2 more
semanticscholar   +1 more source

Digital Era for Quality Education: Effectiveness of Discovery Learning with Android to Increase Scientific Literacy

open access: yesIJORER : International Journal of Recent Educational Research, 2023
Objective: This study analyzes the effectiveness of discovery learning models integrated with Android. Method: The method used is the literature review method.
Uswatun Karimah   +2 more
semanticscholar   +1 more source

Fine-Grained In-Context Permission Classification for Android Apps Using Control-Flow Graph Embedding

open access: yesInternational Conference on Automated Software Engineering, 2023
Android is the most popular operating system for mobile devices nowadays. Permissions are a very important part of Android security architecture. Apps frequently need the users' permission, but many of them only ask for it once—when the user uses the app
V. Malviya   +5 more
semanticscholar   +1 more source

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