• 한국IT서비스학회지
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• 제12권2호
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• pp.349-359
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• 2013

Recently, smart phones have been widely used in the world. Android phones especially provide existing mobile phone features as well as capability of running enterprise applications and web applications by using services. However, such a linkage has limitations to use Android phones as client devices, there is difficulties in providing services by utilizing characteristics of Android. To solve this problem, we need to invoke services by each other. Currently, the Android platform currently supports inter-process communication IPC. However, there is a limitation that Android services just can invoke remote calls. In this paper, we propose a framework to invoke Android services in java environments. For doing this, we propose methods to make services public and to invoke services in using remote calls and communication methods between java environments and Android.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제22권8호
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• pp.351-356
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• 2016

최근 안드로이드 플랫폼용 스마트 폰이 증가함에 따라 관련 어플리케이션 수도 크게 증가하고 있다. 안드로이드용 어플리케이션은 화면 구성 등을 위해 자바와 XML을 동시에 사용하는데, 이 둘 사이에서 다양한 문제가 많이 발생하고 있지만, 이를 고려한 정적 분석 연구와 도구는 부족하다. 본 논문에서는 자바와 XML 사이에서 발생 할 수 있는 문제점들과 품질 지표들을 살펴보고 이를 정적 분석 기법으로 분석 할 수 있는 방안을 제안하고자 한다. 제안한 방법으로 구글 플레이 스토어의 150개 어플리케이션을 대상으로 실험한 결과 172건의 문제점들과 35건의 성능 저하 이슈들을 발견하였다. 본 연구를 통해 안드로이드용 어플리케이션에 대한 정적 분석 연구와 소프트웨어 품질 향상에 기여하고자 한다.

• 디지털산업정보학회논문지
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• 제6권3호
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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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.2180-2197
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• 2019

With the proliferation of the Android malicious applications, malware becomes more capable of hiding or confusing its malicious intent through the use of code obfuscation, which has significantly weaken the effectiveness of the conventional defense mechanisms. Therefore, in order to effectively detect unknown malicious applications on the Android platform, we propose DroidVecDeep, an Android malware detection method using deep learning technique. First, we extract various features and rank them using Mean Decrease Impurity. Second, we transform the features into compact vectors based on word2vec. Finally, we train the classifier based on deep learning model. A comprehensive experimental study on a real sample collection was performed to compare various malware detection approaches. Experimental results demonstrate that the proposed method outperforms other Android malware detection techniques.

• International Journal of Computer Science & Network Security
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• 제23권9호
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• pp.141-149
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• 2023

Repacked mobile apps constitute about 78% of all malware of Android, and it greatly affects the technical ecosystem of Android. Although many methods exist for repacked app detection, most of them suffer from performance issues. In this manuscript, a novel method using the Constant Key Point Selection and Limited Binary Pattern (CKPS: LBP) Feature extraction-based Hashing is proposed for the identification of repacked android applications through the visual similarity, which is a notable feature of repacked applications. The results from the experiment prove that the proposed method can effectively detect the apps that are similar visually even that are even under the double fold content manipulations. From the experimental analysis, it proved that the proposed CKPS: LBP method has a better efficiency of detecting 1354 similar applications from a repository of 95124 applications and also the computational time was 0.91 seconds within which a user could get the decision of whether the app repacked. The overall efficiency of the proposed algorithm is 41% greater than the average of other methods, and the time complexity is found to have been reduced by 31%. The collision probability of the Hashes was 41% better than the average value of the other state of the art methods.

• 정보처리학회논문지D
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• 제18D권5호
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• pp.403-414
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• 2011

최근 안드로이드 기반의 스마트 폰이 널리 사용되고 있으며, 이를 이용한 다양한 응용이 개발중이다. 그 중 한 애플리케이션에서 생성한 데이터를 다른 애플리케이션으로 전달하는 경우가 빈번하게 발생한다. 그러므로 한 애플리케이션에서 발생하는 메타데이터를 다른 애플리케이션으로 쉽게 전달하거나 공유할 수 있는 방법이 필요하다. 안드로이드에서 애플리케이션이 생성한 메타데이터는 Java 객체로 만들어진다. 안드로이드에서 기존의 데이터 전달 방법으로는 클립보드와 인텐트 그리고 컨텐트 프로바이더가 있다. 하지만 이 방법들은 모두 레코드 형태로 데이터를 전달하도록 되어 있다. 그러므로 개발자는 객체를 전달하기 위해 마샬링과 언마샬링하는 과정을 직접 구현해야 한다. 본 논문에서는 애플리케이션에서 만든 임의의 타입의 객체를 전송할 수 있는 메타서비스를 설계하고 구현하였다. 메타서비스를 이용할 경우 클립보드와 컨텐트 프로바이더에서 객체를 전송하기 위해 구현해야하는 복잡한 과정을 줄여서 버그를 줄이고 코드를 간단히 작성할 수 있도록 하여 생산성을 증진 시킬 수 있도록 하였다.

• 한국멀티미디어학회논문지
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• 제20권2호
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• pp.234-243
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• 2017

With the development of smartphone technologies enable photoplethysmogram (PPG) acquisition by camera and heart rate (HR) measurement. This papers presents improved algorithm to extract HR from PPG signal recorded by smartphone camera and to develop real-time PPG signal processing Android application. 400 video samples recorded by Samsung smartphone camera are imported as input data for further processing and evaluating algorithm on MATLAB. An optimized algorithm is developed and tested on Android platform with different kind of Samsung smartphones. To assess algorithm's performance, medical device Beurer BC08 is used as reference. According to related works, accuracy parameters includes 90% number of samples that has relative errors less than 5%, Person correlation (r) more than 0.9, and standard estimated error (SEE) less than 5 beats-per-minutes (bpm).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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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.

• 정보보호학회논문지
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• 제23권2호
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• pp.213-221
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• 2013

최근 안드로이드 OS 기반에서 SNS(Social Networking Service)를 이용한 게임 및 어플리케이션 시장이 급속도로 성장함에 따라 이에 대한 보안 위협도 증가하고 있다. 특히, 근래 카카오톡 플랫폼이 활성화됨에 따라 이를 이용한 어플리케이션이 대거 출시되고 있으나, 이에 대한 보안 대책은 전무한 실정이다. 이와 같이 늘어나는 안드로이드 OS 기반 SNS 어플리케이션의 변조를 통한 보안 위협에 대응하기 위해서는 어플리케이션 제작 단계에서의 코드 보안 기술이 필요하다. 따라서, 본 논문에서는 안드로이드 OS 기반 SNS 어플리케이션의 실제 변조를 통한 분석을 실시하고 적절한 코드 보안 기술을 제안하고자 한다.

• 한국IT서비스학회지
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• 제12권3호
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• pp.421-432
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• 2013

The changes in the game platform is appeared since the advent of smart-phones. Apple's iOS or Google's Android platform is gradually expanding their territories in the mobile game area. Android's platform fragmentation and the absence of game development framework act as barriers for game developments. In the development of game applications on the smart-phone, the standardized development procedures under game framework can achieve the productivity improvement. In this paper, we propose a new design pattern suitable for the design of a framework for new areas of application through the expansion of existing framework. The design and implementation of the Android game development framework is presented by taking advantage of existing design patterns and a proposed pattern. Also we propose the standardized development procedure of game applications under the proposed framework.