• Title/Summary/Keyword: 탐지확률

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Nonparametric Detection Methods against DDoS Attack (비모수적 DDoS 공격 탐지)

  • Lee, J.L.;Hong, C.S.
    • The Korean Journal of Applied Statistics
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    • v.26 no.2
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    • pp.291-305
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    • 2013
  • Collective traffic data (BPS, PPS etc.) for detection against the distributed denial of service attack on network is the time sequencing big data. The algorithm to detect the change point in the big data should be accurate and exceed in detection time and detection capability. In this work, the sliding window and discretization method is used to detect the change point in the big data, and propose five nonparametric test statistics using empirical distribution functions and ranks. With various distribution functions and their parameters, the detection time and capability including the detection delay time and the detection ratio for five test methods are explored and discussed via monte carlo simulation and illustrative examples.

Bias Detection on Opposition Issue (대립 관계에 있는 이슈에서의 바이어스 탐지)

  • Kwon, A-Rong;Tsolmon, Bayar;Lee, Kyung-Soon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.04a
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    • pp.398-401
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    • 2012
  • 사람들은 기업이나 제품에 대해 자신의 생각이 긍정적인지 부정적인지 표현하고자 한다. 트위터 사용자들은 트윗을 통해 자신의 생각을 표현한다. 본 논문에서는 트위터 데이터를 대상으로 대립관계에 있는 이슈에서의 바이어스 탐지 방법을 제안한다. 비지도학습 방법을 이용하여 트윗 패턴을 통해 세부자질을 추출하며, 세부자질에 대한 감정에 따른 확률 테이블을 구축하여 바이어스 탐지를 수행한다. 제안 방법의 유효성을 검증하기 위해 4 개의 대립 이슈에 대해 평가를 하였으며, 제안 모델이 기존의 모델보다 우수한 성능을 보였다.

A Study on Design and Analysis of an Alert-Confirm Detection Method (Alert-Confirm 탐지 방식의 설계 및 성능 분석에 관한 연구)

  • Eunhee Kim;Hyunsu Oh;Sawon Min
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.2
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    • pp.140-146
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    • 2024
  • Active electronically scanning antennas are faster and more flexible in beam-scheduling than mechanical antennas. Thus, they require an advanced resource management or detection methods to operate efficiently. In a surveillance radar performing periodic detection, alert-confirm detection is an excellent method to improve the cumulative detection probability by reducing the period while maintaining the detection probability. This paper proposes a design method for alert-confirm detection based on the parameters of the conventional design. We developed a simulator based on simulink@matworks and verified the result through Monte Carlo simulation.

원자력 발전시설에서의 조기경보용 연기감지

  • Yu, Hyeon-Jong
    • 방재와보험
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    • s.108
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    • pp.47-51
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    • 2005
  • 원전에서의 화재사고는 사람은 물론 주변 환경에도 막대한 영향과 피해를 가져오는 파괴적 재난이 될 수 있다. 오늘날 원자력 발전소를 위한 화재안전 프로그램들은 화재 발생 확률과 피해를 최소화하는 것을 우선 과제로 삼고 있는 실정이다. 따라서 어떠한 화재라도 안전작동 차단기능을 방해하지 않으며, 원전 주위에 방사능 유포 위험을 늘리지 않는다는 것을 목표로 화재안전 프로그램이 운영되고 작동중인 원자로의 넓은 적용 범위에서 초기 탐지능력을 강화하는 것이 중요하다고 할 수 있다.

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A Study on The Hybrid Acquisition Performance of MC DS-CDMA Over Multipath Fading Channel (다중경로 환경에서 MC DS-CDMA시스템의 직.병렬 혼합 동기 획득에 관한 연구)

  • Kim, Won-Sbu;Kim, Kyung-Won;Park, Jin-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.10
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    • pp.1968-1976
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    • 2007
  • This paper proposes a hybrid pseudo-noise (PN) code acquisition scheme for Multicarrier Direct Sequence - Code Division Multiple Access (MC DS-CDMA) mobile communication systems on the code acquisition performance for Nakagami-m fading channel. The hybrid acquisition scheme combines parallel search with serial search to cover the whole uncertainty region of the input code phase. It has a much simpler acquisition hardware structure than the total parallel acquisition and can achieve the mean acquisition time (MAT) slightly inferior to that of the total parallel acquisition. The closed-form expressions of the detection and false-alarm probabilities are derived.

Verification of Extended TRW Algorithm for DDoS Detection in SIP Environment (SIP 환경에서의 DDoS 공격 탐지를 위한 확장된 TRW 알고리즘 검증)

  • Yum, Sung-Yeol;Ha, Do-Yoon;Jeong, Hyun-Cheol;Park, Seok-Cheon
    • Journal of Korea Multimedia Society
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    • v.13 no.4
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    • pp.594-600
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    • 2010
  • Many studies are DDoS in Internet network, but the study is the fact that is not enough in a voice network. Therefore, we designed the extended TRW algorithm that was a DDoS attack traffic detection algorithm for the voice network which used an IP data network to solve upper problems in this article and evaluated it. The algorithm that is proposed in this paper analyzes TRW algorithm to detect existing DDoS attack in Internet network and, design connection and end connection to apply to a voice network, define probability function to count this. For inspect the algorithm, Set a threshold and using NS-2 Simulator. We measured detection rate by an attack traffic type and detection time by attack speed. At the result of evaluation 4.3 seconds for detection when transmitted INVITE attack packets per 0.1 seconds and 89.6% performance because detected 13,453 packet with attack at 15,000 time when transmitted attack packet.

An Experimental Study on the Detection Characteristic of Draft Ice by Thermography System (열화상 시스템에 의한 유빙의 탐지특성에 관한 실험적 연구)

  • Cho, Yong-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.5
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    • pp.302-307
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    • 2017
  • Draft ice in polar regions is formed due to sea level changes and various environmental factors cause damage due to collision with offshore plants and ships for resource development. Drift ice in polar regions is a potential source of accidents for offshore plants that perform long-term operations in one place, as well as on the ship. To prevent accidents with drift ice, offshore plants and ships in polar regions use satellite image information and detection radar to detect drift ice. However, the inability to use visible satellite images at night significantly lowers the detection probability by radar for small drift ice. In this study, we used a thermal imaging system which can be operated day and night for the detection of drift ice, and carried out an experimental study on the detection characteristics of drift ice. To examine the night operation of the thermal imaging system, the experimental condition was set and the thermal image was measured according to the measurement angle change. Under this condition, the correlation was analyzed by theoretical calculating the radiant energy of the drift ice and the sea water.

Experimental Results of Performance of CFAR Detectors in Active Sonar Environment (능동 소나 환경에서 일정 오경보 확률 탐지기 성능의 실험적 고찰)

  • 이구성;김기만;박상택;이충용;윤대희
    • The Journal of the Acoustical Society of Korea
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    • v.18 no.7
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    • pp.3-9
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    • 1999
  • In this paper, the characteristics of LFM and CW signals in active sonar environment is investigated. CA, OS and TM CFAR processors are applied to the received CW/LFM signals which are plotted in the range/doppler domain. The performances of detection are analyzed. Particularly, using the real data, we certified that the results of the experiments are identical with the theoretical performance.

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Improved Time Delay Difference Estimation for Target Tracking using Doppler Information (도플러 효과의 보상을 통한 시간지연 차의 추정)

  • 염석원;윤동헌;윤동욱;고한석
    • The Journal of the Acoustical Society of Korea
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    • v.17 no.8
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    • pp.25-33
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    • 1998
  • 본 논문에서는 한 쌍의 센서를 이용하여 미지의 수중 음향 신호의 시간지연의 차 (Time Delay Difference)를 추정하고 탐지하는 알고리즘을 다루고 있다. 전형적인 시간지연 차의 최적화 추정 기법은 두 신호의 상관관계(Cross Correlation)에 의한 ML(Maximum likelihood)추정으로 구할 수 있지만, 실제 수중 음향 환경 하에서 시간 지연뿐만 아니라 표 적의 이동에 의하여 발생하는 도플러 효과로 신호의 주파수도 변하게 된다. 이러한 신호 주 파수의 올바른 고려 없이 단순히 두 신호의 시간지연만을 추정하는 방법은 불가피한 에러를 생성하게 된다. 본 논문에서는 시시각각 변하는 시간지연의 차를 구하기 위한 준 최적화 기 법인 확률분포 함수의 Recursive Filter에 시간 지연 차와 도플러효과의 2차원 확률분포 함 수를 적용한 추정 알고리즘을 제안한다. 관측된 신호의 리샘플링(Resampling)을 통하여 도 플러 효과를 보상한 후 2차원 Conditional likelihood를 구하고 Projection과 Correction 과정 을 통하여 시간지연과 도플러 효과에 대한 사후확률을 구한다. 그리고 이러한 알고리즘을 가상 시나리오에 대한 모의실험을 통하여 평가한다.

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Prediction Algorithm of Threshold Violation in Line Utilization using ARIMA model (ARIMA 모델을 이용한 설로 이용률의 임계값 위반 예측 기법)

  • 조강흥;조강홍;안성진;안성진;정진욱
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.8A
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    • pp.1153-1159
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    • 2000
  • This paper applies a seasonal ARIMA model to the timely forecasting in a line utilization and its confidence interval on the base of the past data of the lido utilization that QoS of the network is greatly influenced by and proposes the prediction algorithm of threshold violation in line utilization using the seasonal ARIMA model. We can predict the time of threshold violation in line utilization and provide the confidence based on probability. Also, we have evaluated the validity of the proposed model and estimated the value of a proper threshold and a detection probability, it thus appears that we have maximized the performance of this algorithm.

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