• Annual Conference of KIPS
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• 2010.11a
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• pp.1297-1299
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• 2010

무선 통신에서는 무선 통신의 브로드캐스트한 특성으로 데이터의 기밀성 유지를 위한 암호화가 매우 중요하다. 특히 무선 센서 네트워크(WSN - Wireless Sensor Network)의 경우 일반적인 PC와는 다르게 다양한 환경에 위치할 수 있어 공격자에게 더 쉽게 노출 될 수 있는 문제점을 가지고 있다. 이런 환경에서 미리 저장된 해쉬 함수나 비밀 값에 의존한 키 분배를 할 경우 저장된 값이 노출될 경우 심각한 문제를 초래하게 된다. 그리고 D-H 키 분배 알고리즘의 경우 키 값을 안전하게 도출을 할 수 있지만 키를 도출한 대상에 대한 인증의 부재와 멀티 홉 환경에서 중간자 공격에 취약한 문제점을 드러내고 있다. 본 논문에서는 이런 문제를 해결하기위해 기존 연구를 응용하여 멀티 홉 환경에서 무선 통신의 특성을 이용한 비밀값 공유와 제 3의 노드를 이용한 간단한 인증이 가능한 기법을 제안한다.

• Annual Conference of KIPS
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• 2011.11a
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• pp.137-140
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• 2011

센서 네트워크의 가장 큰 이슈는 센서노드들의 제한된 에너지를 효율적으로 관리하여, 센서노드의 Lifetime을 연장하는데 있다. 센서 네트워크에서 가장 큰 에너지 손실 부분은 RF통신 부분이라 할 수 있다. 본 논문은 질의응답에 참여할 센서 노드를 선별적으로 구성함으로써, 질의응답에 참여하지 않는 센서노드들의 에너지를 관리하고자 한다. 또한 참여노드의 선별적 구성에 대한 신뢰도를 향상시키기 위해 클러스터에 존재하는 센서 노드들 간의 신뢰비율을 선택 메커니즘에 포함시키고자 한다.

• Annual Conference of KIPS
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• 2020.11a
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• pp.144-146
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• 2020

Discrete Wavelet Transform (DWT) is an effective technique that is commonly used for detecting noise in collected data of an individual sensor. In addition, the detection accuracy can be significant improved by exploiting the correlation in the data of neighboring sensors of Wireless Sensor Networks (WSNs). Principal component analysis is the powerful technique to analyze the correlation in the multivariate data. In this paper, we propose a DWT-PCA combination scheme for noise detection (DWT-PCA-ND). Experimental results on a real dataset show a remarkably higher performance of DWT-PCA-ND comparing to conventional PCA scheme in detection of noise that is a popular anomaly in collected data of WSN.

• Annual Conference of KIPS
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• 2020.05a
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• pp.69-71
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• 2020

Principal Component Analysis (PCA) is an effective data analysis technique which is commonly used for fault detection on collected data of Wireless Sensor Networks (WSN), However, applying PCA on the whole data make the detection performance low. In this paper, we propose Joint PCA and Adaptive Threshold for Fault Detection (JPATAD). Experimental results on a real dataset show a remarkably higher performance of JPATAD comparing to conventional PCA model in detection of noise which is a popular fault in collected data of sensors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.11
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• pp.3145-3162
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• 2023

As an important technology of the internetwork, wireless sensor network technique plays an important role in indoor localization. Non-line-of-sight (NLOS) problem has a large effect on indoor location accuracy. A location algorithm based on improved particle filter and directional probabilistic data association (IPF-DPDA) for WSN is proposed to solve NLOS issue in this paper. Firstly, the improved particle filter is proposed to reduce error of measuring distance. Then the hypothesis test is used to detect whether measurements are in LOS situations or NLOS situations for N different groups. When there are measurements in the validation gate, the corresponding association probabilities are applied to weight retained position estimate to gain final location estimation. We have improved the traditional data association and added directional information on the original basis. If the validation gate has no measured value, we make use of the Kalman prediction value to renew. Finally, simulation and experimental results show that compared with existing methods, the IPF-DPDA performance better.

• Journal of information and communication convergence engineering
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• v.22 no.1
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• pp.1-6
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• 2024

Energy efficiency in wireless sensor networks (WSNs) is a critical issue because batteries are used for operation and communication. In terms of scalability, energy efficiency, data integration, and resilience, WSN-cluster-based routing algorithms often outperform routing algorithms without clustering. Low-energy adaptive clustering hierarchy (LEACH) is a cluster-based routing protocol with a high transmission efficiency to the base station. In this paper, we propose an energy consumption model for LEACH and compare it with the existing LEACH, advanced LEACH (ALEACH), and power-efficient gathering in sensor information systems (PEGASIS) algorithms in terms of network lifetime. The energy consumption model comprises energy-sensitive cluster formation and a cluster head selection technique. The setup and steady-state phases of the proposed model are discussed based on the cluster head selection. The simulation results demonstrated that a low-energy-consumption network was introduced, modeled, and validated for LEACH.

• Journal of Internet Technology
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• v.19 no.6
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• pp.1801-1810
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• 2018

In this study, an energy-aware data-replication is proposed to effectively support a mobile sink in a solar-powered wireless sensor network (WSN). By utilizing the redundant energy efficiently, the proposed scheme shares the gathered data among the cluster heads using a backbone network, in order to increase data-reliability. It also maintains a backup cluster head in each cluster to enhance topological resilience. The simulation result showed that, compared to conventional clustering techniques, the proposed scheme decreases the total amount of data loss from the mobile sink as well as saving its energy (by reducing its moving distance), while minimizing the unexpected blackout time of the sensor node.

• International Journal of Computer Science & Network Security
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• v.24 no.10
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• pp.109-114
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• 2024

Wireless Sensor Networks (WSN) includes a large number of small sensor nodes and low cost, which are randomly located in a region. The wireless sensor network has attracted much attention from universities and industry around the world over the past decades, with features denser levels of node deployment, self-configuration, uncertainty of sensor nodes, computing, and memory constraints. Black-hole attack is one of the most known attacks on this network. In this study, the combination of fuzzy logic and particle swarm optimization (PSO) algorithms is proposed as an effective method for detecting black-hole attack in the AODV protocol. In the current study, a new function has been proposed in order to determine the membership of fuzzy parameters based on the particle swarm optimization algorithm. The proposed method was evaluated in different scenarios and was compared with other state of arts. The simulation result of this method proved the better performance in both detection rate and delivered packet rate.

• The Korean Journal of Food And Nutrition
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• v.23 no.3
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• pp.352-360
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• 2010

This study was performed to develop a Korean natural cheese with traditional medical wine, making it different from foreign natural cheese. The effects of cheese with Sasam(Codonopsis lanceolate) wine(CLW) on the quality properties during the ripening period of natural cheese were investigated. The properties investigated were growth of lactic acid bacteria, characteristics of ripening, and sensory characteristics. Four vats of cheese were made on the same day from the same tank of fresh milk. Cheese samples were prepared with CLW at 2.0%, 4.0% and 6.0% of raw milk. Changes in gross composition, viable cell counts, pH, water soluble nitrogen(WSN), non casein nitrogen(NCN), non protein nitrogen(NPN), and proteolysis during maturation were measured. Polyacrylamide gel electrophoresis(PAGE) patterns were determined with control cheese. Viable cell counts of control and CLW cheese were not significantly different. The pH of CLW cheese increased gradually during maturation, and saponin levels and levels of NPN, NCN, and WSN were higher in CLW cheeses than control cheese. For most compositional data, the 4.0% CLW cheese was most similar to the control cheese. The PAGE pattern of cheese caseins indicated that the CLW cheeses degraded more rapidly than the control cheese. Control and 2.0% CLW cheese had good sensory scores, while scores for 4.0% and 6.0% CLW cheese were lower. However, sensory data depreciated with added levels of CLW, especially at a level of 4.0% or more. Further studies on levels of CLW and processing methods are required to improve sensory quality.

• Journal of Internet Computing and Services
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• v.13 no.2
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• pp.59-71
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• 2012

PKI-based public key scheme is outstanding in terms of authenticity and privacy. Nevertheless its application brings big burden due to the certificate/key management. It is difficult to apply it to limited computing devices in WSN because of its high encryption complexity. The Bilinear Pairing emerged from the original IBE to eliminate the certificate, is a future significant cryptosystem as based on the DDH(Decisional DH) algorithm which is significant in terms of computation and secure enough for authentication, as well as secure and faster. The practical EC Weil Pairing presents that its encryption algorithm is simple and it satisfies IND/NM security constraints against CCA. The Random Oracle Model based IBE PKG is appropriate to the structure of our target system with one secret file server in the operational perspective. Our work proposes modification of the Weil Pairing as proper to the closed network for secret file distribution[2]. First we proposed the improved one computing both encryption and message/user authentication as fast as O(DES) level, in which our scheme satisfies privacy, authenticity and integrity. Secondly as using the public key ID as effective as PKI, our improved IBE variant reduces the key exposure risk.