• Journal of Internet Technology
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• v.22 no.2
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• pp.423-439
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• 2021

Android is one of the most popular platforms for the mobile and Internet of Things (IoT) devices. This popularity has made Android-based devices a valuable target of malicious apps. Thus, it is essential to devise automatic and portable malware detection approaches for the Android platform. There are many studies on detecting mobile malware using machine learning techniques. In these studies, however, the dataset is imbalanced or is not large enough to generalize the machine learning model, or the dimensionality of features is too high to apply nonlinear classifiers. In this article, we propose a machine learning-based Android malware detection scheme that uses API calls and permissions as features. To restrict the dimensionality of features, we propose minimal domain knowledge-based and Gini importance-based feature selection. We construct large and balanced real-world datasets to build a generalized and non-skewed model and verify our model through experiments. We achieve 96.51% classification accuracy using Random Forest classifier with low overhead. In addition, we also provide an analysis on falsely classified samples in detail. The analysis results show that API hiding can degrade the performance of API call information-based malware detection systems.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.10
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• pp.213-220
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• 2020

The power consumption and performance of hardware-based mobile and IoT embedded systems that require high specifications are one of the important issues of these systems. In particular, the problem of excessive power consumption is because it causes a problem of increasing heat generation and shortening the life of the device. In addition, in the same environment, software also needs to perform stable operation in limited power and memory, thereby increasing power consumption of the device. In order to solve these issues, we propose a Low level power improvement via identifying performance dissipation. The proposed method identifies complex modules (especially Cyclomatic complexity, Coupling & Cohesion) through code visualization, and helps to simplify low power code patterning and performance code. Therefore, through this method, it is possible to optimize the quality of the code by reducing power consumption and improving performance.

• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.221-226
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• 2018

Special-purposed vehicles are customized according to the user's requirements. When these vehicles are out of oder, they are costly and time consuming to repair. In order to solve these problems, we want to remotely check whether the vehicle is abnormal and remotely identify the fault area, thereby shortening the repair cost and the repair period. In this study, the faulty part of the electric control part is automatically identified, and it is immediately grasped through the user's mobile phone application and an instant fault code is notified to the car manufacturer for quick and smooth fault repair. In order to realize this, we want to build a system that uses the technology of IoT to determine the fault area according to the items required in the field of the special purpose vehicle and notify the manufacturer of the fault on its own.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.5
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• pp.799-806
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• 2020

The rapid growth of smartphone-to-Internet of Things (IoT) connections and the explosive demand for data usage centered on mobile video are increasing day by day, and this increase in data usage creates many problems in the IP system. In a full-based environment, in which information requesters focus on information providers to receive information from specific servers, problems arise with bottlenecks and large data processing. To address this problem, CCN networking technology, a future network technology, has emerged as an alternative to CCN networking technology, which reduces bottlenecks that occur when requesting popular content through caching of intermediate nodes and increases network efficiency, and can be applied to military information and communication networks to address the problem of traffic concentration and the use of various surveillance equipment in full-based networks, such as scientific monitoring systems, and to provide more efficient content.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.317-323
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• 2018

Although various kinds of VR services are being carried out in the tourism field, The virtual reality experiences are still costly, since they could be realized in a limited space with some kinds of expensive equipment such as HMD. In this study, we propose a mobile virtual reality tourism experience using an easy and simple Google card board and user's smartphone because most tourist sites are outdoors and most of users like enjoying sightseeing and experience at the same time. For this purpose, we constructed a system that provides tourist information in real time employing both the IoT and VR techniques. Especially we develpoed a tourism contents for the UNESCO World Heritage Communities of Baekje Historical Site and Songsanri Tumulus. In addition, we virtually restored the royal palace in Gongju and confirmed the historical experience by VR flatform could be popular with people.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.267-273
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• 2020

Beacon is a wireless communication device that can automatically recognize the smart device in the short distance and transmit the necessary data, Beacon is a representative Internet of Things (IoT) facility in the era of the 4th Industrial Revolution, which is utilized in various fields such as short-distance information delivery, mobile location service, shopping, and marketing, and is constantly evolving. In this paper, it is based on tourist site-based recommendation information service. A system is proposed that recommends customized information according to the user's interest, preference, etc. by incorporating beacon technology. In other words, it acts as an information agent that informs tourists of desired information. In order to meet the needs of tourists, it is necessary to build an intelligent tourism recommendation system. The personalized Korean food and tourism recommendation management system using the beacon technology proposed in this paper is expected to provide high-quality services not only to foreigners visiting Korea but also to Korean tourists.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.3
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• pp.71-85
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• 2017

The $4^{th}$ industrial revolution is a super connection society. It connects all things between things and things, PC and mobile phone, human and human and human and things. In Jeju island, 'Batdam' and 'Sandam' are conneted like 'black dragon ten thousand Li', and stone walls are connected to each other as the stone network, which is called as the 'Goendam' (and conventionally is told as the 'Goendang') and is related to the Family network. Also, IoT(Internet of Things) makes the connection between the stone network and people. The Jeju's fourth industrial revolution is a its testbed. 'Goendang' connection in 4G industrial revolution is shown to be important Node and Link in socially and mathematically. In this paper, we review the historical background of the Goendang and find combinations of stones on the various types of stone field using the algebraic geometry.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.1-8
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• 2020

In this paper, we proposed a smart greenhouse system that can easily grow plants indoors without professional knowledge by using the criteria of factors affected by common plants (temperature, humidity, soil humidity), and implemented a system that can check the greenhouse state in real time and control the device remotely through mobile applications. Based on Raspberry pie and Arduino, the system measures the state of greenhouse in real time through sensors and automatically controls the device. After growing and experimenting with plants in a greenhouse for a certain period of time, it was confirmed that the environment suitable for each plant was maintained. Therefore, the smart greenhouse system in this paper is expected to improve plant cultivation efficiency and user convenience and also increase beginners' access to plants.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.4
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• pp.301-320
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• 2016

Internet of Things is a future technology driven the fourth industrial revolution. Internet of Things is expected to bring revolutionary changes in all sectors of society thanks to the data and service that is generated by connecting objects to human and other objects. However, while many different cases of the Internet of Things have introduced considerable innovations to various industries and public sectors, little cases and research have been devoted to library service innovation. The purpose of this study is to provide a review of relevant literature relating to the Internet of Things and Libraries and to briefly explain what the Internet of Things is and how it might be useful for libraries. It also analyze S university library case for Internet of Things services and suggest further steps and way for developing IoT services in university libraries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.521-528
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• 2016

Web-based services are used widely in many computer application fields due to the increasing use of PCs and mobile devices. Accordingly, topics on the analysis of access logs generated in the application fields have been researched actively to support personalized services in the field, and analyzing techniques based on the weight differentiation of information in access logs have been proposed. This paper outlines an analysis technique for web-click streams, which is useful for finding high utility old item sets in web-click streams, whose data elements are generated at a rapid rate. Using the technique, interesting information can be found, which is difficult to find in conventional techniques for analyzing web-click streams and is used effectively in target marketing. The proposed technique can be adapted widely to analyzing the data generated in a range of computing application fields, such as IoT environments, bio-informatics, etc., which generated data as a form of data streams.