• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2006.05a
• /
• pp.681-684
• /
• 2006

A new packet extraction program is presented to extract communication packet between a server and clients. The extracted packet source is used to develope a special driver to access general clients to the server. The proposed scheme employs a relay server to take a specified packet among a large number of packets on the same network. The proposed method is tested in PMS (Plant Management System) sewer and ProDAS (Process Data Aquisition and Analysis System) in a combined cycle power plant. The developed scheme can be applied for extracting a specified communication packet between the general server and client.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.2
• /
• pp.81-88
• /
• 2018

Spectrum sensing, the key technology of the cognitive radio networks, is used by a secondary user to determine the frequency state of a primary user. The energy detection in the spectrum sensing determines the presence or absence of a primary user according to the intensity of the allocated channel signal. Since this technique simply uses the strength of the signal for spectrum sensing, it is difficult to detect the signal of a primary user in the low SNR band. In this paper, we propose a way to combine spectrum sensing and support vector machine using wavelet packet decomposition to overcome performance degradation in low SNR band. In our proposed scheme, the sensing signals were extracted by wavelet packet decomposition and then used as training data and test data for support vector machine. The simulation results of the proposed scheme are compared with the energy detection using the AUC of the ROC curve and the accuracy according to the SNR band. With simulation results, we demonstrate that the proposed scheme show better determining performance than one of energy detection in the low SNR band.

• Korean Journal of Optics and Photonics
• /
• v.23 no.4
• /
• pp.143-146
• /
• 2012

All-optical data extraction, one of the key technologies for all-optical computing and optical communication to perform add-drop, packet switching, and data reset, etc., is experimentally demonstrated by using cross-gain modulation (XGM) of semiconductor optical amplifiers (SOAs). Also, all-optical data extraction based on numerical simulation is performed by using the VPI simulation tool. In this paper, the suggested optical system based on SOAs shows the potential for high speed, and highly integrable and low power optical data computing.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2011.11a
• /
• pp.718-721
• /
• 2011

웹 서비스를 대상으로 하는 DDoS(Distributed Denial-of-Service) 공격 또는 유해 트래픽 유입을 탐지 또는 차단하기 위한 목적으로 HTTP(Hypertext Transfer Protocol) 트래픽을 실시간으로 분석하는 기능은 거의 모든 네트워크 트래픽 보안 솔루션들이 탑재하고 있는 필수적인 요소이다. 하지만, HTTP 트래픽의 실시간 데이터 측정 양이 시간이 지날수록 기하급수적으로 증가함에 따라, HTTP 트래픽을 실시간 패킷 단위로 분석한다는 것에 대한 성능 부담감은 날로 커지고 있는 실정이다. 이제는 응용 어플리케이션 차원에서는 성능에 대한 부담감을 해소할 수 없기 때문에 고비용의 소프트웨어 가속기나 하드웨어에 의존적인 전용 장비를 탑재하여 해결하려는 시도가 대부분이다. 본 논문에서는 현재 대부분의 PC 에 탑재되어 있는 그래픽 카드의 GPU(Graphics Processing Units)를 범용적으로 활용하고자 하는 GPGPU(General-Purpose computation on Graphics Processing Units)의 연구에 힘입어, NVIDIA사의 CUDA(Compute Unified Device Architecture)를 사용하여 네트워크 트래픽에서 HTTP 패킷 추출성능을 응용 어플리케이션 차원에서 향상시켜 보고자 하였다. HTTP 패킷 추출 연산만을 기준으로 GPU 의 연산속도는 CPU 에 비해 10 배 이상의 높은 성능을 얻을 수 있었다.