• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.945-952
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• 2023

In this paper, GRS chip driven JNI code application SW design based on Android platform was designed and fabricated as motion gesture frame module based on Android platform. The serial data reception module design proposed by the application-based network support API technology was designed with Android-based module design, Android-based module implementation, and Android-based function module implementation design. The data information of the sensor could be checked through Android applications such as classes of serial communication drivers, libraries, and frameworks for receiving data from wireless communication devices through Android OS applications. In addition, applications in Android implement application SW that can judge motion gestures in four directions using Java.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.2
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• pp.59-66
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• 2018

Android Things is an Android-based platform running in Google's IoT environment. Android smartphones require permissions from application users to use certain features, but in the case of Android Things, there is no display to send request notifications to users. Therefore Does not make a request to use the permissions and automatically accepts the permissions from the system. If the privilege is used indiscriminately, malicious behavior such as system failure or leakage of personal information can be performed by a function which is not related to the function originally. Therefore, By monitoring the privileges that a device uses in an Android-based IoT system, users can proactively respond to security threats that can arise through unauthorized use of the IoT system. This paper proposes a system that manages the rights currently being used by IoT devices in the Android Things based IoT environment, so that Android-based IoT devices can cope with irrelevant use of rights.

• Journal of Internet Computing and Services
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• v.20 no.1
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• pp.67-75
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• 2019

The Android container is used for various purposes such as Bring Your Own Device (BYOD) solution and Android malware analysis. The strong point of android container than other technologies is it can simulate an android device like a real android phone on a hardware layer. Therefore, automatic management solutions for android container are necessary. This paper introduces a new design of cloud-based management solution for android containers. Through the proposal, android containers are managed automatically from a cloud platform - OpenStack with various tasks like: container configuration, deployment, destroy, android version, hardware device. In addition, the system monitoring and system statistics for android containers and hardware devices are also provided.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.2
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• pp.153-159
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• 2011

Android is the OS for mobile phones created by Google. Android has changed the situations of mobile developing community, and currently many of mobile programs based on the android platform are designed. In this paper, android platform based traffic information system by using LBS is proposed and developed. The main contributions and features of the proposed system are as follows. First, no space constraints as mobile based traffic information system. Second, basic information services as well as telephone service. direct homepage service. Third, user oriented suitable program that can be made by users themselves. The performance evaluation of the developed system is performed by using AVD (Android Virture Device) for Android SDK 1.5.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2188-2203
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• 2021

With the rapid development of mobile Internet, smart phones have been widely popularized, among which Android platform dominates. Due to it is open source, malware on the Android platform is rampant. In order to improve the efficiency of malware detection, this paper proposes deep learning Android malicious detection system based on behavior features. First of all, the detection system adopts the static analysis method to extract different types of behavior features from Android applications, and extract sensitive behavior features through Term frequency-inverse Document Frequency algorithm for each extracted behavior feature to construct detection features through unified abstract expression. Secondly, Long Short-Term Memory neural network model is established to select and learn from the extracted attributes and the learned attributes are used to detect Android malicious applications, Analysis and further optimization of the application behavior parameters, so as to build a deep learning Android malicious detection method based on feature analysis. We use different types of features to evaluate our method and compare it with various machine learning-based methods. Study shows that it outperforms most existing machine learning based approaches and detects 95.31% of the malware.

• IEMEK Journal of Embedded Systems and Applications
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• v.9 no.1
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• pp.1-9
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• 2014

As Android platform and its applications are widely used, it is necessary to assure the reliability and safety of Android applications. The capture and replay technique is widely used for reproducing the crashes in Java applications. In this paper, we adapt the context-based capture and replay technique to Android applications by considering Android activity structure and its GUI characteristics. Our capture and replay technique uses probe code insertion based on AspectJ for minimizing the original code change and for enhancing the efficiency and reusability of the probe codes. For proving the efficiency of our technique, we provide a case study and execution overhead comparisons with related works, in which our approach has merits in GUI oriented Android applications with relatively low execution overhead.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.3
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• pp.49-55
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• 2012

Recently, with the rapid development of android-based smartphones, it is becomes a major security issue that the case of Android platform is an open platform. so it is easy to be a target of mobile virus penetration and hacking. Even there are a variety of security mechanisms to prevent the vulnerable points of the Android platform but the reason of most of the security mechanisms were designed at application-level that highly vulnerable to the attacks directly to the operating system or attacks using the disadvantages of an application's. It is necessary that the complementary of the android platform kernel blocks the kernel vulnerability and the application vulnerability. In this paper, we proposed a secure system using linux-based android kernel applied to LIDS(Linux Intrusion Detection and Defense System) and applied a smart phone with s5pc110 chip. As a result, the unauthorized alteration of the application was prevented with a proposed secure system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.646-648
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• 2012

In this paper, android phone information push system based on the XMPP protocol is proposed. It uses Java and eclipse development tools to create an information pushing system in android phone based on the XMPP protocol, and runs on the C/S network situation. Not only, the information can be send and receire form android phone in the PC server, but also the smack packet of the android phone is used fully by this system. Therefore, the speed of the transmission and the transfer are better than other sending sportocol in the basic XMPP protocol of the system.

• ETRI Journal
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• v.35 no.2
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• pp.259-269
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• 2013

Android has become the most popular platform for mobile devices. However, Android still has critical performance issues, such as "application not responding" errors and hiccups resulting from garbage collection. Many phone vendors have tried to resolve the problems by characterizing and improving the performance. However, there are few insightful performance analysis tools for the Android-based systems. This paper presents AndroScope, which is a performance analysis tool for both the Android platform (Dalvik virtual machine, core libraries, Android libraries, and even Linux kernels) and its applications. To the best of our knowledge, this is the first tool to collect and analyze performance data from all the software layers of the Android-based systems. AndroScope offers a trace mechanism to collect such deep and wide performance data as hardware performance counters, time, and memory usage. In addition, the tool includes TraceBridge, which is a middleware for the fast handling of mass logs. Moreover, AndroScope offers an integrated graphical user interface with the Android software development kit to display a great volume of the detailed performance data.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.3
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• pp.169-177
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• 2010

As expectations about success of smart phones that install Android, an open mobile platform which was developed by Google, are increasing, the development of applications based on the Android has attracted a lot of interest. Especially, game applications have been well received by users. In this paper, we develop an application based on the Android for curling which was adopted as a competitive sport in the Winter Olympic Games. Curling is a sport game played by two teams. The rules of the game are simple, but it is an intelligent one that requires various strategies for victory. In this paper, the curling game based on the Android provides functions, such as pitching, sweeping, collision, and foul handling, that are required in real curling game by using technologies, such as touch screen or accelerometer sensor.