• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.455-458
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• 2009

Bluetooth technology has been applied to mobile device, personal computers, peripherals, information and variety of consumer electronics. Not also the original Bluetooth technology must be especially focused in the application of mobile phone but applications such as wireless headsets and dial-up networking may be increased. However Bluetooth is so only focused to wireless headset application that the various software applications are presently ignored. In this paper, we propose the framework design to implement Bluetooth profile for kiosk servers, which can be used in Theater, train station, bank, government and public offices. Then mobile devices capable of processing user's input/output can be remotely accessed in these servers by using Bluetooth module and AP, although Kiosk servers are only processed user input data.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.2
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• pp.139-150
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• 2008

Recently, financial institutes and industrial companies are adopted to security token such as OTP, smart card, and USB authentication token and so on for secure system management and user authentication. However, some research institutes have been introduced security weaknesses and problems in security tokens. Therefore, in this paper, we analyses of security functions and security requirements in security token performed by analyses of standardization documents, trends, security problems, attack methods for security tokens. Finally, we propose a CC v.3.1 based security token protection profile.

• The KIPS Transactions:PartC
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• v.16C no.1
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• pp.1-12
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• 2009

Today, Digital Right Management (DRM) is used to protect copyrights of digital contents from illegal reproduction and redistribution. Unfortunately, current DRM systems are causing user's discomfort because of lack of mutual compatibility. In order to overcome this drawback, technologies for interoperability of heterogeneous DRM systems are developing. In this paper, we study the protection profile for conversion technologies of heterogeneous DRM systems, using the Common Criteria. Especially, this paper is written by reuse of the existing protection profile. Therefore, performance analysis reveals that efficiency of time and cost is significantly improved. This protection profile can be used by contents provider and administrator who manage user's copyrights to reference data for copyright protection.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.298-302
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• 2009

This paper proposes a single sign-on scheme in which a mobile user offers his credential information to a home network running the OSGi (Open Service Gateway Initiative) service platform, to obtain user authentication and control a remote device through a mobile device using this authentication scheme, based on SAML (Security Assertion Markup Language). Especially by defining the single sign-on profile to overcome the handicap of the low computing and memory capability of the mobile device, we provide a clue to applying automated user authentication to control a remote device via a mobile device for distributed mobile environments such as a home network based on OSGi.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.66-68
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• 1999

본 논문에서는 정보여과 시스템에서 웹 페이지를 수집하고 여과하는 과정과 사용자 프로파일을 학습하는 과정에 하이퍼링크 정보를 이용하는 방법을 제안한다. 사용자가 원하는 웹 페이지를 추천하기 위해 사용자 프로파일을 하이퍼링크 정보를 이용해 만들고 사용자의 반응(feedback)에 따라 사용자 프로파일을 조정한다. 가중치 조정에 있어서 학습 효과를 높이기 위해 사용자가 반응을 보인 웹 페이지에서 출발해 링크로 연결된 모든 페이지에 대해 깊이에 따라 가중치를 조정하는 가중치 전파 알고리즘(Weight Propagation Algorithm)을 제안한다. 적은 사용자의 반응으로도 프로파일 내의 많은 페이지에 영향을 줄 수 있어 높은 학습 효과를 기대할 수 있다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.4
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• pp.9-19
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• 2010

In this paper, a new program recommendation system is proposed to recommend user preferred VOD program in IPTV environment. A proposed system is implemented with hybrid filtering method that can cooperatively complements the shortcomings of the content-based filtering and collaborative filtering. For a user program preference, a single-scaled measure is designed so that the recommendation performance between content-based filtering and collaborative filtering is easily compared and reflected to final hybrid filtering procedure. In order to provide more accurate program recommendation, we use not only the user watching history, but also the user program preference and sub-genre program preference updated every week as a user preference profile. System performance is evaluated with modified IPTV data from real 24-weeks cable TV watching data provided by Nilson Research Corp. and it shows quite comparative quality of recommendation.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.3
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• pp.46-55
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• 2012

Recently, the concept of PES(Personal Environment Service) is being widely discussed on various standardization organizations such as ITU-R, ETSI, 3GPP, TTA and etc. The purpose of PES is to introduce the services which can dynamically, automatically and intelligently reconfigures the electronic, electrical, and mechanical equipment surrounding the user according to the user preferences included in a user's profile by using a smartphone embedding WPAN radio technologies such as bluetooth and WiFi. This research introduces an Android Platform-based PES system which consists of a PES app, PES devices and a PES server. A smartphone platform is Android 2.2(Froyo) version and 4 simulated PES devices were implemented by using Galaxy Tab. It has shown that the PES would be a killer application of M2M(Machine-to-Machine) or D2D(Device-to-Device) in the future and it would need to study how to update a user's profile based on analyzing user's behaviour for enhancing the PES user's satisfaction.

• The KIPS Transactions:PartC
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• v.10C no.7
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• pp.857-866
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• 2003

For detecting an intrusion based on the anomaly of a user's activities, previous works are concentrated on statistical techniques in order to analyze an audit data set. However. since they mainly analyze the average behavior of a user's activities, some anomalies can be detected inaccurately. In this paper, a new clustering algorithm for modeling the normal pattern of a user's activities is proposed. Since clustering can identify an arbitrary number of dense ranges in an analysis domain, it can eliminate the inaccuracy caused by statistical analysis. Also, clustering can be used to model common knowledge occurring frequently in a set of transactions. Consequently, the common activities of a user can be found more accurately. The common knowledge is represented by the occurrence frequency of similar data objects by the unit of a transaction as veil as the common repetitive ratio of similar data objects in each transaction. Furthermore, the proposed method also addresses how to maintain identified common knowledge as a concise profile. As a result, the profile can be used to detect any anomalous behavior In an online transaction.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.318-327
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• 2008

With the advance of information technologies and the spread of Internet use, the volume of usable information is increasing explosively. A content recommendation system provides the services of filtering out information that users do not want and recommending useful information. Existing recommendation systems analyze the records and patterns of Web connection and information demanded by users through data mining techniques and provide contents from the service provider's viewpoint. Because it is hard to express information on the users' side such as users' preference and lifestyle, only limited services can be provided. The semantic Web technology can define meaningful relations among data so that information can be collected, processed and applied according to purpose for all objects including images and documents. The present study proposes a content recommendation search system that can update and reflect personalized profiles dynamically in semantic Web environment. A personalized profile is composed of Collector that contains the characteristics of the profile, Aggregator that collects profile data from various collectors, and Resolver that interprets profile collectors specific to profile characteristic. The personalized module helps the content recommendation server make regular synchronization with the personalized profile. Choosing music as a recommended content, we conduct an experience on whether the personalized profile delivers the content to the content recommendation server according to a service scenario and the server provides a recommendation list reflecting the user's preference and lifestyle.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.901-904
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• 2014

As sensing techniques have advanced, context-aware technologies have been developed under the various domain for each different purpose. The number of services were created and are being used actually, but the services for specific spatial domain are not adequate yet. To solve this, there have been many efforts, and some of them were actually successful. Among them, the methods which used ontology-based inference were relatively reliable and appropriate for context-aware system, but not able to support contexts for individual without complex rules. In this paper, current scope of context inference is extended from user-oriented context modeling to entity-oriented. Furthermore, we used user profile and home profile to provide more specific context information of not only each individual but entity.