A Framework for Major Stakeholders in Android Application Industry to Manage Privacy Policies of Android Applications

2016 ◽  
pp. 153-170 ◽  
Author(s):  
Shi-Cho Cha ◽  
Chuang-Ming Shiung ◽  
Tzu-Ching Liu ◽  
Sih-Cing Syu ◽  
Li-Da Chien ◽  
...  
Keyword(s):  
Android Application ◽  
Privacy Policies ◽  
Android Applications ◽  
Application Industry

PENGEMBANGAN APLIKASI ANDROID BERBANTU SOFTWARE ISPRING SUITE SEBAGAI MEDIA PEMBELAJARAN EKONOMI MADRASAH ALIYAH MA’ARIF 9 KOTAGAJAH TAHUN PELAJARAN 2018/2019

2021 ◽  
Vol 1 (2) ◽  
pp. 175-187
Author(s):  
Novita Anggestia ◽  
Triani Ratnawuri ◽  
Meyta Pritandhari
Keyword(s):  
Learning Process ◽  
Development Model ◽  
Average Score ◽  
Application Software ◽  
Android Application ◽  
Design Development ◽  
Practical Research ◽  
Android Applications ◽  
Analysis Design ◽  
Made In

  Learning media is one of the needs that must be fulfilled in the learning process. The results of the pre-survey of learning media used in the Aliyah Ma'arif 9 Kotagajah Madrasah, researchers found several problems, namely the use of learning media that were less innovative in learning and the limitation of images in teaching books, worksheets and powerpoints so that students were not attracting attention in the learning process . So that learning media are needed that can attract the attention of students such as android applications, android application software assisted ispring suite as an economic learning media arranged concisely, clearly, and made in a practical form so that students are more interested and enthusiastic in learning and can understand the material. The development model used in this development is the ADDIE development model which consists of several stages, namely (Analysis, Design, Development, Implementation, and Evaluation). Based on the results of the development of android applications assisted by software ispring suite as an economic learning media it is known the results of recapitulation of data that have been carried out by learning media material experts on android applications with an average score of 86% included in the very feasible category and declared valid, the results of recapitulation from media experts with scores on average 87% fall into the category of very decent and declared valid. Furthermore, the practicality test by IPS X grade 1 students of Aliyah Ma'arif 9 Kotagajah gets an average score of 92.2% and falls into the very practical category so that it is declared practical. research shows that economic learning media using this android application is suitable for use in learning. Thus it can be concluded that the learning media of android applications are learning media that are valid and practical to be used in the learning process.

scholarly journals DAMPAK PEMANFAATAN APLIKASI ANDROID DALAM PEMBELAJARAN BANGUN RUANG

2018 ◽  
Vol 6 (2) ◽  
pp. 122-136
Author(s):  
Elisabeth Wiwik Sri Mulyani
Keyword(s):  
Action Research ◽  
Learning Process ◽  
Action Observation ◽  
Android Application ◽  
Learning Achievement ◽  
Learning Content ◽  
Learning Mathematics ◽  
Android Applications ◽  
The Impact ◽  
Planning Action

The purpose of this study was to know the impact of the utilization of android applications in learning mathematics in SMPN-1 Sragen. This classroom action research was conducted in two cycles,each cycle beginned with planning, action, observation, and reflection. The data in this study was the assessment of the learning process obtained from learners in the activity and assessment at the end of the cycle. Then, the data was analyzed to know whether the utilization of android application in teaching space has been successful or not. There was an increase in students' learning achievement in understanding mathematics after having utilized the android applications. Before the action, only 18 students (56.25%) completed their learning and increased to be 22 students (68.75%) on the first cycle. In the second cycle, the number of students completed their learning was 31 students (96.87%). The use of android application for class IX students B SMPN-1 Sragen had improved the students’ learning achievement. Before the action, the average knowledge of students was 75.16 and their average skill was 70.63. In the first cycle, the average knowledge of students is 78.59 and their average skills is 72.5. In the second cycle, of average knowledge 88.13 average skills 86.88. The conclusion, the utilization of android application in teaching the space learning content improved the students learning achievement. Teachers are suggested to utililize the android application or other appropriate media in learning-teaching activities.ABSTRAKFokus masalah yang menjadi pembahasan di dalam tulisan ini adalah dampak dari pemanfaatan aplikasi android dalam pembelajaran matematika tentang bangun ruang sisi lengkung di SMPN-1 Sragen. Tujuan penelitian ini adalah untuk mengetahui dampak dari pemanfaatan aplikasi android dalam pembelajaran matematika tentang bangun ruang sisi lengkung di SMPN-1 Sragen. Metode penelitian tindakan kelas ini dilaksanakan dengan dua siklus, di mana setiap siklus diawali dengan perencanaan, tindakan, observasi, dan refleksi. Data dalam penelitian ini berupa penilaian proses yang diperoleh dari peserta didik dalam beraktivitas dan penilaian pada akhir siklus. Kemudian, data dianalisis untuk memperoleh gambaran tentang berhasil-tidaknya pembelajaran yang telah dilakukan. Hasil penelitian menunjukkan ada peningkatan hasil belajar peserta didik dalam memahami bangun ruang sisi lengkung setelah belajar menggunakan aplikasi android. Sebelum tindakan, yang tuntas 18 peserta didik (56,25%), pada siklus pertama 22 peserta didik (68,75%). Pada siklus kedua, peserta didik yang tuntas belajarnya 31 orang (96,87%). Penggunaan aplikasi android pada peserta didik kelas IX B SMPN 1 Sragen terbukti dapat meningkatkan hasil belajar peserta didik. Sebelum tindakan, rata-rata pengetahuan 75,16 dan rata-rata keterampilan 70,63. Pada siklus pertama, rata-rata pengetahuan meningkat menjadi 78,59 dan rata-rata keterampilan 72,5. Kemudian, pada siklus kedua, rata-rata pengetahuan meningkat menjadi 88,13 dan rata-rata keterampilan meningkat menjadi 86,88. Simpulan dari penelitian ini adalah bahwa pemanfaatan aplikasi android pada materi bangun ruang meningkatkan hasil belajar peserta didik. Disarankan agar guru menggunakan aplikasi android atau media lain yang tepat dalam pembelajaran. 

Machine Learning Based Malicious Android Application Detection

2020 ◽  
Vol 17 (8) ◽  
pp. 3468-3472
Author(s):  
S. L. Jany Shabu ◽  
Rohan Loganathan Reddy ◽  
V. Maria Anu ◽  
L. Mary Gladence ◽  
J. Refonaa
Keyword(s):  
Machine Learning ◽  
Mobile Application ◽  
Learning Algorithms ◽  
Identity Theft ◽  
Machine Learning Algorithms ◽  
Android Application ◽  
Sensitive Data ◽  
Android Applications ◽  
Malicious Apps

The ultimate aim of the project is to improve permission for detecting the malicious android mobile application using machine learning algorithms. In recent years, the usages of smartphones are increasing steadily and also growth of Android application users are increasing. Due to growth of Android application users, some intruders are creating malicious android applications as a tool to steal the sensitive data and identity theft/fraud mobile bank, mobile wallets. There are so many malicious applications detection tools and software are available. But an effectiveness of malicious applications detection tools is the need for the hour. They are needed to tackle and handle new complex malicious apps created by intruder or hackers.

scholarly journals Android Based Student Reminder System

2017 ◽  
Vol 10 (04) ◽  
pp. 760-764
Author(s):  
Y. Bhavani ◽  
D Sanjay
Keyword(s):  
Smart Phone ◽  
Android Application ◽  
Student Activities ◽  
Reminder System ◽  
Android Applications ◽  
User Friendly ◽  
Number Of Classes

Now a day’s usage of android applications has become a part of our life. By using these applications our work becomes simple and easier in our day to day activities. This paper suggests an android application which is generally useful for the students and parents. It contains various features like notifying the student about the renewal date of library books, alerting students and their parents about the percentage of attendance and reminds them about number of classes they should present to maintain the specified attendance threshold. This application also alerts the students and parents about various events like examinations, workshops to be held, student activities to be conducted etc. This application is user friendly and can be installed in any android smart phone

scholarly journals Learning-Based Detection for Malicious Android Application Using Code Vectorization

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lin Liu ◽  
Wang Ren ◽  
Feng Xie ◽  
Shengwei Yi ◽  
Junkai Yi ◽  
...  
Keyword(s):  
Hybrid Model ◽  
Malware Detection ◽  
Virus Detection ◽  
Training Model ◽  
Malicious Code ◽  
Detection Methods ◽  
Android Application ◽  
Fusion Model ◽  
Data Set ◽  
Android Applications

The malicious APK (Android Application Package) makers use some techniques such as code obfuscation and code encryption to avoid existing detection methods, which poses new challenges for accurate virus detection and makes it more and more difficult to detect the malicious code. A report indicates that a new malicious app for Android is created every 10 seconds. To combat this serious malware activity, a scalable malware detection approach is needed, which can effectively and efficiently identify the malware apps. Common static detection methods often rely on Hash matching and analysis of viruses, which cannot quickly detect new malicious Android applications and their variants. In this paper, a malicious Android application detection method is proposed, which is implemented by the deep network fusion model. The hybrid model only needs to use the sample training model to achieve high accuracy in the identification of the malicious applications, which is more suitable for the detection of the new malicious Android applications than the existing methods. This method extracts the static features in the core code of the Android application by decompiling APK files, then performs code vectorization processing, and uses the deep learning network for classification and discrimination. Our experiments with a data set containing 10,170 apps show that the decisions from the hybrid model can increase the malware detection rate significantly on a real device, which verifies the superiority of this method in the detection of malicious codes.

scholarly journals A COMPARISON OF CREATING AN ANDROID APPLICATION USER INTERFACE IN XAML AND IN C# CODE

2021 ◽  
Vol 2 ◽  
pp. 52-62
Author(s):  
Igor Košťál ◽  
Martin Mišút
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Execution Time ◽  
Android Application ◽  
Development Environment ◽  
Source Codes ◽  
Advantages And Disadvantages ◽  
C Programming Language ◽  
C Programming ◽  
Android Applications

Almost every Android user application has some kind of user interface. Android programmers who create Xamarin.Forms applications and who uses the Microsoft Visual Studio development environment to do so can create user interfaces in the XAML (the Extensible Application Markup Language) or in the C# programming language. This paper deals with a comparison of creating this user interface by the first and the second way. We demonstrate the differences in the creation of Android application user interfaces in XAML and in C# by way of using two of our Android applications which were created by the Microsoft Visual Studio 2019 Enterprise, which work as text editors with the ability to store text to disc, and have user interfaces that are visually identical. However, the user interface of the first Android application was created in XAML with a C# support code, whereas the user interface of the second Android application was created entirely in C#. While comparing the source codes of the user interfaces of both these Android applications, we identify the advantages and disadvantages of both approaches to creating a user interface and we try to find out which of these approaches is better for maintaining and modifying user interfaces. In this study, we also contrast the processes of handling events of controls of a user interface created in the XAML code for the first Android application as well as that of the same user interface created in the C# code for the second Android application. Furthermore, we were interested in determining whether the different ways of creating user interfaces affected the execution time of basic operations that included disc files that were performed on the same data by both the applications. We assume that it does not fundamentally affect the execution time, and so, we performed an experiment to confirm or refute our assumption.

scholarly journals Visual Detection for Android Malware using Deep Learning

2020 ◽  
Vol 10 (1) ◽  
pp. 152-156
Keyword(s):  
Deep Learning ◽  
Main Idea ◽  
Mobile Internet ◽  
Android Application ◽  
Analysis Model ◽  
Android Malware ◽  
Proposed Model ◽  
Learning Technique ◽  
Android Applications ◽  
High Level

The most serious threats to the current mobile internet are Android Malware. In this paper, we proposed a static analysis model that does not need to understand the source code of the android applications. The main idea is as most of the malware variants are created using automatic tools. Also, there are special fingerprint features for each malware family. According to decompiling the android APK, we mapped the Opcodes, sensitive API packages, and high-level risky API functions into three channels of an RGB image respectively. Then we used the deep learning technique convolutional neural network to identify Android application as benign or as malware. Finally, the proposed model succeeds to detect the entire 200 android applications (100 benign applications and 100 malware applications) with an accuracy of over 99% as shown in experimental results.

scholarly journals Rancang Bangun Alat Pengamanan Rumah Berbasis Sensor Dan “Panic Button” Sebagai Alarm Keadaan Darurat Di Kompleks RT/RW Menggunakan Nodemcu Esp8266

2019 ◽  
Vol 3 (2) ◽  
pp. 81
Author(s):  
Haidar Yusuf Al Hambra ◽  
Ovide Decroly Wisnu Ardhi ◽  
Fendi Aji Purnomo ◽  
Nanang Maulana Yoeseph
Keyword(s):  
Internet Of Things ◽  
Working Hours ◽  
Android Application ◽  
Control Center ◽  
Human Needs ◽  
Home Security ◽  
Holiday Season ◽  
Android Applications ◽  
Basic Human Needs ◽  
The Internet Of Things

<p>Rumah merupakan salah satu kebutuhan dasar manusia setelah sandang dan pangan yang berfungsi sebagai tempat pelindung dan pengaman manusia dari pengaruh dan gangguan alam/cuaca maupun makhluk lain. Di saat jam-jam kerja dapat dipastikan bahwa pasti banyak rumah kosong ditinggal pergi penghuninya. Terlebih lagi untuk musim liburan, seperti perayaan hari raya dan tahun baru. Rumah kosong tersebut menjadi sasaran empuk para pencuri, terutama rumah tanpa sistem keamanan yang memadai. Metode penelitian ini menggunakan alat pengamanan rumah berbasis sensor dan <em>“Panic Button”</em> untuk memantau keadaan di rumah dengan bantuan aplikasi <em>android</em> yang sudah saling terhubung. Hasil penelitian telah berhasil dilakukan pembuatan aplikasi android dan alat pengamanan rumah yang menggunakan board NodeMCU ESP8266 sebagai pusat kontrol dan menerapan konsep <em>Internet of Things </em>(IoT). Alat dan aplikasi android telah diimplementasikan dan dapat berjalan dengan baik</p><p>_______________________________</p><p>Abstract</p><p><em>Home is one of the basic human needs after clothing and food which functions as a place of protection and human safety from the influence and disturbance of nature / weather and other creatures. During working hours, it can be ascertained that many residents will leave empty houses. What's more for the holiday season, such as celebrations for holidays and new years. This empty house is an easy target for thieves, especially houses without an adequate security system. This research method uses a sensor-based home security tool and "Panic Button" to monitor the situation at home with the help of an android application that is interconnected. The results of the study have been successfully made the making of android applications and home security tools that use the ESP8266 NodeMCU board as a control center and apply the Internet of Things (IoT) concept. Android tools and applications have been implemented and can run well</em></p>

scholarly journals Student Reminder Android Based System

2020 ◽  
Vol 9 (3) ◽  
pp. 2035-2038
Keyword(s):  
Smart Phone ◽  
Android Application ◽  
Student Activities ◽  
Android Applications ◽  
User Friendly ◽  
Number Of Classes

Now a day’s usage of android applications has become a part of our life. By using these applications our work becomes simple and easier in our day to day activities. This paper suggests an android application which is generally useful for the students and parents. It contains various features like notifying the student about the renewal date of library books, alerting students and their parents about the percentage of attendance and reminds them about number of classes they should present to maintain the specified attendance threshold. This application also alerts the students and parents about various events like examinations, workshops to be held, student activities to be conducted etc. This application is user friendly and can be installed in any android smart phone.

Formal and Automatic Security Policy Enforcement on Android Applications by Rewriting1

2021 ◽  
Author(s):  
Marwa Ziadia ◽  
Mohamed Mejri ◽  
Jaouhar Fattahi
Keyword(s):  
Formal Methods ◽  
Security Policy ◽  
Security Policies ◽  
Policy Enforcement ◽  
Android Application ◽  
System Specification ◽  
Policy Specification ◽  
Android Applications

With the wide variety of applications offered by Android, this system has been able to dominate the smartphone market. These applications provide all kinds of features and services that have become highly requested and welcomed by users. Besides, these applications represent risky vehicles for malware on Android devices. In this paper, we propose a novel formal technique to enforce the security of Android applications. We start off with an untrusted Android application and a security policy, and we end up in a new version of the application that behaves according to the policy. To ensure the correctness of results, we use formal methods in each step of the process, either in the system and the security policy specification or in the enforcement technique itself. The target application is reverse-engineered to its assembly-like code, Smali. An executable semantics called k-Smali was defined for this code using a language definitional framework, called k Framework. Security policies are specified in LTL-logic. The enforcement step consists of integrating the LTL formula in the k-Smali program using rewriting. It aims to rewrite the system specification automatically so that it satisfies the requested formula.

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