• ETRI Journal
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• v.44 no.3
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• pp.512-523
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• 2022

Random delay countermeasures introduce random delays into the execution flow to break the synchronization and increase the complexity of the side channel attack. A novel method for attacking devices with random delay countermeasures has been proposed by using a maximal overlap discrete wavelet transform (MODWT)-based power trace alignment algorithm. Firstly, the random delay in the power traces is sensitized using MODWT to the captured power traces. Secondly, it is detected using the proposed random delay detection algorithm. Thirdly, random delays are removed by circular shifting in the wavelet domain, and finally, the power analysis attack is successfully mounted in the wavelet domain. Experimental validation of the proposed method with the National Institute of Standards and Technology certified Advanced Encryption Standard-128 cryptographic algorithm and the SAKURA-G platform showed a 7.5× reduction in measurements to disclosure and a 3.14× improvement in maximum correlation value when compared with similar works in the literature.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.156-165
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• 2021

In this paper, we propose an histogram weighted centroid based Siamese region proposal network for object tracking. The original Siamese region proposal network uses two identical artificial neural networks which take two different images as the inputs and decide whether the same object exist in both input images based on a similarity measure. However, as the Siamese network is pre-trained offline, it experiences many difficulties in the adaptation to various online environments. Therefore, in this paper we propose to incorporate the histogram weighted centroid feature into the Siamese network method to enhance the accuracy of the object tracking. The proposed method uses both the histogram information and the weighted centroid location of the top 10 color regions to decide which of the proposed region should become the next predicted object region.

• Electronics and Telecommunications Trends
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• v.37 no.3
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• pp.33-40
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• 2022

Communication technologies are evolving to meet the ever-increasing demand for fast transmission speeds and large capacity. However, the introduction of new mobile networks, such as 5G, should be accompanied by changes in corresponding frequency and modulation techniques to enable the commercialization of its services. Hence, investigating the human health effects of electromagnetic exposures used in these new communication systems is crucial. Since in vitro electromagnetic experiments can provide essential information on important mechanisms of exposure effects, this article presents in vitro exposure systems necessary for reliable experiments. Moreover, the fundamental requirements for system implementation and the features of various systems are discussed.

• Journal of Korea Multimedia Society
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• v.25 no.7
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• pp.903-911
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• 2022

A shrimp quality detection model using YOLOv4 deep learning algorithm is designed, which is superior in terms of network architecture, data processing and feature extraction. The shrimp images were taken and data expanded on their own, the LableImage platform was used for data annotation, and the network model was trained under the Darknet framework. Through comparison, the final performance of the model was all higher than other common target detection models, and its detection accuracy reached 93.7% with an average detection time of 47 ms, indicating that the method can effectively detect the quality of shrimp in the production process.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.143-148
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• 2022

In this paper, we employ deep neural network (DNN) to discern Android user interaction data distribution from artificial data distribution. We utilize real Android user interaction trace dataset collected from [1] to evaluate our DNN design. In particular, we use sequential model with 4 dense hidden layers and 1 dense output layer in TensorFlow and Keras. We also deploy sigmoid activation function for a dense output layer with 1 neuron and ReLU activation function for each dense hidden layer with 32 neurons. Our evaluation shows that our DNN design fulfills high test accuracy of at least 0.9955 and low test loss of at most 0.0116 in all cases of artificial data distributions.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.2
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• pp.81-85
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• 2009

In VANET, it is required one-way broadcast transmission because vehicles move at high speed and warning messages need to broadcast. our protocol employs digital signatures to authenticate nodes along the path. this prevents impersonation attacks and message modification attacks. our protocol also employs the node list to recognize intermediate nodes of the path. The node list, the time, and the nonce can prevent replay attacks.

• Annual Conference of KIPS
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• 2009.04a
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• pp.1155-1158
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• 2009

모바일 서비스는 사용자보호를 위해 인증 및 암호화 기능이 필수적으로 제공되어야만 한다. 3GPP는 3 세대 이동통신 (UMTS)를 위한 인증보안구조인 AKA를 정의하였다. AKA에서는 인증벡터를 다수 개 생성하여 처리하는 기법을 채택하고 있으나 이러한 기법이 인증서버의 load 증가 및 방문서버의 저장공간 소모라는 문제점을 야기한다. 하지만 인증벡터를 다수 개 생성하는 기법은 단말의 핸드오버를 위한 필수불가결한 기법이다. 따라서 본 논문에서는 사용자의 이동패턴 및 인증요청 처리 속도에 따른 인증벡터의 동적 선택 알고리즘을 제안하여 이동통신 네트워크의 signaling load를 최소화하고자 한다. 이를 위해 확률 및 큐잉 이론이 도입되었으며, 시뮬레이션을 통해 수학적 분석을 검증한다. 또한 기존 관련연구에서 제안 하는 알고리즘과 비교 평가하였다.

• Annual Conference of KIPS
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• 2009.04a
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• pp.1206-1209
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• 2009

모바일 단말의 이동성을 지원하는 호스트 기반의 MIPv6, HMIPv6 및 FMIPv6 프로토콜이 개발되었지만, 이동성 기능을 단말기에 구현해야 하는 부담이 있다. 이러한 문제점을 해결하기 위해 최근에 네트워크 기반으로 동작하는 PMIPv6 프로토콜이 등장하였다. 그러나 라우팅 최적화나 핸드오버 지연시간을 단축해야 하는 과제가 아직 남아 있다. 따라서, 본 논문에서는 사용자의 인증절차를 간소화하여 지연시간을 줄이고, 핸드오버 시간 동안 패킷들을 LMA 의 별도 광 버퍼링 공간에 저장하였다가 재전송함으로써 패킷 disordering 문제점을 해결하는 기법을 제안한다. 성능평가는 분석 모델을 통해 평가하며, 제안기법의 핸드오버 지연시간은 표준 PMIPv6 대비 33% 개선된 성능을 보인다.

• Annual Conference of KIPS
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• 2009.11a
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• pp.535-536
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• 2009

무선센서네트워크에서 사용되는 많은 응용 프로그램들은 센서노드들의 위치 정보를 필요로 한다. 센서가 획득한 데이터에 대한 지형적인 위치를 결정함으로써 그 데이터에 대한 가치가 중요해질 수도 그렇지 않을 수도 있기 때문이다. Geographic routing 등 기존의 많은 기법들이 센서노드에 위치를 알 수 있는 부가장치가 장착되어 있다는 것을 가정하여 추가적인 비용이 발생하지만 이는 저가의 센서노드들에 적합하지 않거나, 센서노드들간의 연결 정보만을 이용하기 때문에 위치 측정의 정확도가 떨어지는 등의 문제점이 있다. 본 논문은 GPS같은 부가장치를 사용하지 않고 위치를 측정하는 Range-free 방식 중 높은 정확도를 보이는 MDS와 비교하여 더욱 높은 정확도를 보이는 클러스터 기반 MDS 기법을 제안한다. 이 기법은 MDS가 홀이 존재하는 토폴로지에는 정확도가 떨어지는 점에 착안하여 연구된 내용으로 실제 센서네트워크 토폴로지에는 홀이 많이 존재하므로 이러한 환경에서 더욱 높은 정확도를 보이고 있다.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.130-138
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• 2023

The Smart grids are considered as multi-disciplinary power systems where the communication networks are highly employed. This paper presents optimal wide area measurement system (WAMS) configuration in Nordic power system. The transition from SCADA to WAMS becomes now trend in all power systems to ensure higher reliability and data visibility. The optimization applied in this research considered the geographical regions of the Nordic power system. The research considered all the devices of WAMS namely phasor measurement units (PMUs), phasor data concentrators (PDCs) and communication links. The study also presents two scenarios for optimal WAMS namely base case and N-1 contingency as different operating conditions. The result of this research presents technical and financial results for WAMS configuration in a real power system. The optimization results are performed using MATLAB 2017a software application.