• Journal of Digital Convergence
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• v.12 no.1
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• pp.333-338
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• 2014

Zigbee is a wireless communication technology optimized for WSN (Wireless Sensor Network) environment. A WSN gateway is used for node control and data transmission. However, a fixed-type gateway can restrict the flexibility of the WSN environment. A smartphone-mounted high-performance processor and Android OS can be easily used in a mobile WSN gateway. In this paper, we proposed a mobile WSN gateway based on Android smartphones. In the proposed system, a Zigbee sensor module is connected with a smartphone via USB (Universal Serial Bus) port. We also implemented an Android application for the mobile WSN gateway.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.3
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• pp.479-491
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• 2024

Android manufacturers collect diagnostic data to improve the quality of service to users around the world. The content and frequency of diagnostic data collected by these Android manufacturers is unknown. We analyze the diagnostic data collection behavior of Samsung smartphones, which has the largest share of the Android market among smartphone manufacturers, to explain which diagnostic data is communicated to the server via network packets, how the system app that collects the diagnostic data works, and whether the diagnostic data violates user privacy.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.3
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• pp.159-168
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• 2017

Smartphone malware has increased because Smartphone users has increased and smartphones are widely used in everyday life. Since 2012, Android has been the most mobile operating system. Owing to the open nature of Android, countless malware are in Android markets that seriously threaten Android security. Most of Android malware detection program does not detect malware to which bypass techniques apply and also does not detect unknown malware. In this paper, we propose lightweight method for detection of Android malware using static analysis and deep learning techniques. For experiments we crawl 7,000 apps from the Google Play Store and collect 6,120 malwares. The result show that proposed method can achieve 98.05% detection accuracy. Also, proposed method can detect about unknown malware families with good performance. On smartphones, the method requires 10 seconds for an analysis on average.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.1
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• pp.95-102
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• 2015

Smartphone is very useful for use in the real world, but it has been exposed to a lot of crime by smartphone. Also, it occurs attempting to delete a data of smartphone memory by anti-forensic tools. In this paper, we implement an anti-forensic tool used in the Android. In addition, tests to validate the availability of the anti-forensic tool by the Oxygen Forensic Suite that is a commercial forensic tool.

• Journal of information and communication convergence engineering
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• v.8 no.4
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• pp.416-420
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• 2010

SMARTPHONE has become a big issue in South Korea and worldwide. In this work we will propose techniques that display web contents according to user preference and service provider' interest for small screen devices such as smartphones. A number of works and research have been conducted to generate suitable web contents for small screen devices. But such previous attempts have not failed to reflect the interest of users and service providers. Our proposed system simulates the Google Android Emulator, which is a free and well known open source.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.2
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• pp.91-105
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• 2010

With the release Apple's iPhone, smartphone is enjoying a tremendous popularity. Security experts pointed the smartphone security risks and KCC(Korea Communications Commission) published safety rules for smartphone users. In this paper we surveyed market and product trends of smartphone and analyzed the security technology of smartphoen OS including Symbian, iPhone OS, Windows Mobile and Android.

• KIISE Transactions on Computing Practices
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• v.21 no.5
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• pp.379-386
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• 2015

We propose a novel user-perceived performance optimization framework for the Android platform that takes advantage of the user-centric response time analysis. To this end, we propose a new definition of response time, which we call the user-centric response time, as a metric for the quality of user-perceived performance of the smartphone application. In this paper, we describe the design and implementation of an on-line user-centric response time analyzer for Android-based smartphones, which provides smartphone application developers with valuable insight for user-perceived performance optimization. We implemented the user-centric response time analyzer on the Android platform, version 4.0.4 (ICS) running on a Galaxy Nexus smartphone. From our experimental results, the proposed user-centric response time analyzer accurately estimates user-centric response times with an accuracy of 92.0% compared to manually measured times with less than 1% performance penalty. In order to evaluate the efficiency of the proposed framework, we were able to reduce the user-centric response time of the target application by up to 16.4% based on the evaluation results by the proposed framework.

• Journal of Internet Computing and Services
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• v.20 no.2
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• pp.61-68
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• 2019

Although the number of smartphone users is continuously increasing due to the advantage of being able to easily use most of the Internet services, the number of counterfeit applications is rapidly increasing and personal information stored in the smartphone is leaked to the outside. Because Android app was developed with Java language, it is relatively easy to create counterfeit apps if attacker performs the de-compilation process to reverse app by abusing the repackaging vulnerability. Although an obfuscation technique can be applied to prevent this, but most mobile apps are not adopted. Therefore, it is fundamentally impossible to block repackaging attacks on Android mobile apps. In addition, personal information stored in the smartphone is leaked outside because it does not provide a forgery self-verification procedure on installing an app in smartphone. In order to solve this problem, blockchain is used to implement a process of certificated application registration and a fake app identification and detection mechanism is proposed on Hyperledger Fabric framework.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.367-372
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• 2022

In the age of smartphones, users accomplish their daily tasks using their smartphones due to the significant growth in smartphone technology. Due to these tremendous expansions, attackers are highly motivated to penetrate numerous mobile marketplaces with their developed malicious apps. Android has the biggest proportion of the overall market share when compared to other platforms including Windows, iOS, and Blackberry. This research will discuss the Android security features, vulnerabilities and threats, in addition to some existing protection mechanisms.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.93-99
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• 2014

This study aims to explore and analyze smartphone users' characteristics from the two perspectives (purchase vs. use characteristics) on the two operating systems (iOS and Android). The results of the study on purchase characteristics show that smartphones choice priority and the gender ratio are found to be significantly different between the two operating system users. However, the replacement cycle is not statistically different from iOS and Android users. The results of study on use characteristics show that the number of the applications and the registered SNS(social network service), the average monthly smartphone bill, and satisfaction are significantly different between iOS and Android users. However, the average Internet usage time is not different between the two operating system users. The findings provide useful implications for operating developers, smartphone manufacturers, and application developers.