• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.27 no.1
• /
• pp.69-75
• /
• 2023

Small communication devices used in the Internet of Things are vulnerable to various hacking because they do not apply advanced encryption techniques due to their low memory capacity or slow computation speed. In order to increase the authentication reliability of small-sized transmitters operating in 433MHz band, we introduce an RF fingerprint and adopt a convolutional neural network (CNN) as a classification algorithm. The preamble signal transmitted by each transmitter are extracted and collected using software-defined-radio to constitute a training data set, which is used for training the CNN. We tested identification of 20 transmitters in four different scenarios and obtained high identification accuracy. In particular, the accuracy of 95.8% and 92.6% was obtained, respectively in the scenario where the test was performed at a location different from the transmitter's location at the time of collecting training data, and in the scenario where the transmitter moves at walking speed.

• Electronics and Telecommunications Trends
• /
• v.28 no.3
• /
• pp.57-66
• /
• 2013

무선랜이 폭발적으로 증가함에 따라, 기술 발전에 힘입은 네트워크 품질은 많이 향상되었지만, 보안 품질은 아직도 요원한 상황이다. 본고에서는 무선랜상에서 아이디 보안 취약성을 이용한 공격들과 이를 탐지하고 방어할 수 있는 디바이스 식별 기술에 대한 동향을 파악한다. 무선랜상에서 아이디 보안 취약성을 이용하는 MAC 속임 공격은 공격자의 존재를 속일 수 있을 뿐만 아니라, 네트워크 및 시스템 권한을 획득할 수 있기 때문에 네트워크 보안에 큰 위협이 되고 있다. 무선디바이스 식별 기술로서는 인증 방식, 프로토콜 분석 방식, 위치확인 방식, RF 지문 방식 등 많은 기법들이 있다. 본고에서는 이러한 기술들 중에서 현재 가장 활발하게 연구되고 있는 RF 지문 기술을 시스템 구조, 디바이스 식별 방법, 보안 취약성, 그리고 보안 응용 관점에서 자세히 분석한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2003.10a
• /
• pp.626-629
• /
• 2003

In this paper, a system that implementation of Biometric System Using RF-ID. We organize a certification system which the security is strengthened, the information is flowed out and the presentation will do the possibility not to be abused. The loss of the credit card and problems which there is many of forgery back are happening. To solve such problems, We organized the system to use after we stored a fingerprint data at RF Card and going through certification necessary formalities. Various research to be related uses this system and is predicted. The development to common use goods will be possible through a certification procedure.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.14 no.6
• /
• pp.663-674
• /
• 1989

In order to design the automatic processing system of image document, the pattern segmentation of image document and classification methods are presented. The contour extraction using first order differential operator of Gauassian distribution fucntions, the image segmentation using the chain code, and the pattern classication using the second order moments and two=dimensional Rf distance(in transform domain) are implemented. The resuts applied in specially documantated image shows to classify the characters, fingerprints, seals etc well. And the utility of the used algorithms is verified.

• The Journal of Korean Institute of Next Generation Computing
• /
• v.14 no.6
• /
• pp.57-65
• /
• 2018

Conventional RF signal-based indoor localization techniques such as BLE or Wi-Fi based fingerprinting method show considerable localization errors even in small-scale indoor environments due to unstable received signal strength(RSS) of RF signals. Therefore, it is difficult to apply the existing RF-based fingerprinting techniques to large-scale indoor environments such as airports and department stores. In this paper, instead of RF signal we use the geomagnetic sensor signal for indoor localization, whose signal strength is more stable than RF RSS. Although similar geomagnetic field values exist in indoor space, an object movement would experience a unique sequence of the geomagnetic field signals as the movement continues. We use a deep neural network model called the recurrent neural network (RNN), which is effective in recognizing time-varying sequences of sensor data, to track the user's location and movement path. To evaluate the performance of the proposed geomagnetic field based indoor positioning system (IPS), we constructed a magnetic field map for a campus testbed of about $94m{\times}26$ dimension and trained RNN using various potential movement paths and their location data extracted from the magnetic field map. By adjusting various hyperparameters, we could achieve an average localization error of 1.20 meters in the testbed.

• Archives of design research
• /
• v.17 no.1
• /
• pp.179-190
• /
• 2004

The human effort to make personal privacy and safety from outer environment has brought the improvement of security system through the technological development. Especially as a apartment dwelling and lifestyle is general, the role and function of door lock system is more important than ever. The research for user-centered approach and design on the door lock system should be implemented under the circumstances. This study has focused on the development of making safety as well as easy interface to design door lock system. The price also is competitive as compared with other door lock products. The goal of this study is to propose the alternatives not only to develop door lock design but also to search the innovative way of locking system design.

• Journal of Korea Society of Industrial Information Systems
• /
• v.15 no.5
• /
• pp.159-166
• /
• 2010

From public insecurity, access of wealth, alteration of population structure, and changes of security recognition, physical security has been continuously developed and changed. In these days, typical systems for physical security are unmanned security system using telephone network and security equipment, image recognition system using DVR and camera, and access control system by finger print recognition and RFID cards. However, physical security system is broadening its domain towards ICT based convergence with networked camera, biometrics, individual authentication, and LBS services. This paper proposes main technical trends and various security convergences for future physical security services by classifying the security categories into 3 parts; Individual security for personal protection, IT Convergence for large buildings, and Homeland Security for omni-directional security.