• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.10
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• pp.1958-1968
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• 2015

Things intelligence communication (M2M or IoT) service activation and global company of OneM2M-related business on aggressive investing and has led to the acceleration of change in the ICT market. But a variety of hacking security technology because of the possibility of secure communication (data exposure, theft, modification, deletion, etc.) has been issued as an important requirement. In this paper, we propose a mutual authentication protocol for secure communications chameleon hash based on the M2M environment. The results of performance analysis efficiency is encryption and decryption an average of 0.7%, calculated rate showed good results as compared to the target algorithm, equivalent to a 3%(Average 0.003 seconds) difference, mutual authentication and encryption region by using the key update advantage of ECC(Elliptic Curve Cryptography)based Chameleon hash function is signed of the operational efficiency, using a collision message verifiable properties demonstrated strong security of the communication section.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.175-184
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• 2016

The purpose of the study focuses on increasing dangers of using smartphones while driving recently, and then is to come up with measures to reduce traffic accidents caused by using devices like a smartphone. This study conducted a survey of drivers using their smartphones while driving to understand risks caused by using a smartphones while operating vehicles. Results showed that a lot of activities may lead to distracted driving, such as texting, making phone calls, using GPS or road maps, game, etc. In this paper, we presented that functions of smartphone should be controlled partially while driving for safe driving performance. These results suggest that using IoT-based smart devices like a beacon and a smartphone application implemented, tentatively called "Safe driving solution", while driving can reduce traffic accidents. Thus, in order to effectively prevent dangerous driving due to the use of smartphones, a "Safe driving solution" which restricts all functions except for calls and driver assistance functions is suggested.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.28 no.2
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• pp.113-119
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• 2017

In this paper, we have shown the performance analysis results of the LoRa low power wide area network under duty cycle local regulation in Korean RFID/USN frequency band. Especially, we analyzed uplink throughput and data transmission time of a single LoRa end device. From the analysis results, duty cycle regulation, in which a data transmission should be ended within 0.4 second, limits the performance of LoRa network. Therefore, it is necessary to revise Korea's duty cycle regulation referencing EU regulation in order to assess LoRa network in Korea.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.1037-1043
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• 2020

This paper presents a new Physical Unclonable Function (PUF) security chip based on a low-cost, small-area, and low-power semiconductor process for IoT devices. The proposed security circuit has multiple challenge-to-response pairs (CRP) by adding the switching circuit to the cross-coupled path between two inverters of the SRAM structure and applying the challenge input. As a result, the proposed structure has multiple CRPs while maintaining the advantages of fast operating speed and small area per bit of the conventional SRAM based PUF security chip. In order to verify the performance, the proposed switched SRAM based PUF security chip with a core area of 0.095㎟ was implemented in a 180nm CMOS process. The measurement results of the implemented PUF show 4096-bit number of CRPs, intra-chip Hamming Distance (HD) of 0, and inter-chip HD of 0.4052.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.57-64
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• 2020

Recently, due to the proliferation of IoT sensors, the development of big data and artificial intelligence, time series prediction research on fine dust pollution is actively conducted. However, because the data representing fine dust contamination changes rapidly, traditional time series prediction methods do not provide a level of accuracy that can be used in the field. In this paper, we propose a method that reflects the classification results of environmental conditions through CNN when predicting micro dust contamination using LSTM. Although LSTM and CNN are independent, they are integrated into one network through the interface, so this method is easier to understand than the application LSTM. In the verification experiments of the proposed method using Beijing PM2.5 data, the prediction accuracy and predictive power for the timing of change were consistently improved in various experimental cases.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.4
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• pp.771-780
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• 2024

In this study, we implemented a real-time pest detection and prediction system for a strawberry farm using a computer vision model based on the YOLOv5 architecture and an Isolation Forest Classifier. The model performance evaluation showed that the YOLOv5 model achieved a mean average precision (mAP 0.5) of 78.7%, an accuracy of 92.8%, a recall of 90.0%, and an F1-score of 76%, indicating high predictive performance. This system was designed to be applicable not only to strawberry farms but also to other crops and various environments. Based on data collected from a tomato farm, a new AI model was trained, resulting in a prediction accuracy of over 85% for major diseases such as late blight and yellow leaf curl virus. Compared to the previous model, this represented an improvement of more than 10% in prediction accuracy.

• Journal of Internet of Things and Convergence
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• v.8 no.1
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• pp.53-58
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• 2022

Smoothing is a transmission plan that converts video data stored at a variable bit rate into a constant bit rate. In the study of [6-7], when a data rate increase is required, the frame with the smallest increase is set as the start frame of the next transmission rate section, when a data tate decrease is required. the frame with the largest decrease is set as the start frame of the next transmission rate section, And the smoothing algorithm was proposed and performance was evaluated in an environment where network traffic is not considered. In this paper, the smoothing algorithm of [6-7] evaluates the adaptive CBA algorithm and performance with minimum frame rate, average frame rate, and frame rate variation from 512KB to 32MB with E.T 90 video data in an environment that considers network traffic. As a result of comparison, the smoothing algorithm of [6-7] showed superiority in the comparison of the minimum refresh rate.

• Annual Conference of KIPS
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• 2017.04a
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• pp.754-756
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• 2017

현대 사회에서 날씨 관련 정보를 좀 더 다양하고 쉽고 빠르게 얻을 수 있지만 피상적인 데이터일 뿐이기 때문에 정보의 전달과 인식이 한계가 있다. 따라서 이를 어떻게 하면 좀 더 직관적인 방식으로 정보를 인식 할지를 고민 한 결과 말 그래도 날씨를 보이게 했다. Arduino 기반으로 쉽고 간결 하게 구현 했으며 데이터 전달의 방식에 대한 생각을 뒤집어 보았다.

• TTA Journal
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• s.153
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• pp.6-11
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• 2014

작년까지 국내에서 대형 침해사고는 2년마다 발생하였으나, 올해 초 대규모 개인정보 유출 사고가 발생하면서 그 암묵적인 2년 룰은 깨졌다. 연이은 침해사고 발생으로 보안의 중요성은 크게 증대되고 있으며, 사이버 공격기술은 대응기술의 발전을 앞질러 빠르게 고도화되고 있고, 그에 대한 피해 또한 가파른 증가세를 보이고 있다. 이에 전 세계적으로 보안시장은 꾸준한 성장세를 보이고 있으며, IoT를 필두로 초연결 시대로 접어드는 시점에서 그 중요성은 날로 증대되고 있다. 전 세계적으로 특히 국내는 연이은 대형 보안사고를 경험해서인지 모르겠으나, 보안은 비용이라는 인식에서 벗어나, 경제적 사회적 비용 측면에서 꼭 필요한 요소라는 인식이 저변에 확대되고 있으며, 다른 분야에 비해 보안 투자는 꾸준히 증대되는 양상을 보이고 있다. 더 나아가 이제는 보안을 차세대 먹거리 산업으로써 육성하려는 정책이 마련되어 추진되고 있으며, 국가 차세대 ICT 신산업 육성 계획을 검토하는 과정에서도 보안이 꼭 고려되어야 하는 요소로 자리매김하고 있다. 이에 본 특집에서는 최근의 사이버 공격 양상과 국내 기술 및 시장 상황을 간략하게 살펴보고, 빅데이터 보안, APT 공격 대응기술, IoT 보안 등 우리가 글로벌 경쟁력을 가질 수 있는 보안 분야와 표준화 이슈에 대하여 살펴보고자 한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2017.11a
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• pp.38-40
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• 2017

본 논문에서는 사람의 걸음걸이 분석을 위한 소형 웨어러블 시스템을 개발한다. 신발 내 깔창에 부착 가능한 소형화된 모듈을 설계하고, 압력 센서 및 가속도 센서를 이용하여 사용자의 걸음걸이에 대한 정보를 측정하고 측정 데이터를 바탕으로 사용자의 자세를 분석한다. 분석한 결과는 블루투스 통신을 이용하여 사용자의 스마트폰으로 전송이 가능하고, 사용자는 자신의 걸음걸이에 대한 정보를 실시간으로 확인하여 스스로 자세교정을 할 수 있도록 유도한다.