• 제목/요약/키워드: intruder detection

검색결과 59건 처리시간 0.026초

A Genetic Algorithm-Based Intrusion Detection System

  • Lee, Han H.;Lee, Duk;Kim, Hee S.;Park, Jong U.
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2000년도 춘계정기학술대회 e-Business를 위한 지능형 정보기술 / 한국지능정보시스템학회
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    • pp.343-346
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    • 2000
  • In this paper, a novel approach to intruder detection is introduced. The approach, based on the genetic algorithms, improved detection rate of the host systems which has traditionally relied on known intruder patterns and host addresses. Rather than making judgments on whether the access is instrusion or not, the systems can continuously monitor systems with categorized security level. With the categorization, when the intruder attempts repeatedly to access the systems, the security level is incrementally escalated. In the simulation of a simple intrusion, it was shown that the current approach improves robustness of the security systems by enhancing detection and flexibility. The evolutionary approach to intruder detection enhances adaptability of the system.

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광 스페클 패턴 변화를 이용한 침입자 탐지용 디지털 신호처리 시스템 구현 및 성능 분석 (Implementation and Analysis of Digital Signal Processing System for Intruder Detection using the Variations of the Optical Speckle Patterns)

  • 김인수;강진석;김기만
    • 한국전자파학회논문지
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    • 제15권4호
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    • pp.360-367
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    • 2004
  • 본 논문에서는 감도와 신뢰성이 높은 멀티모드 광섬유에서 스페클 패턴(speckle pattern) 변화를 이용한 침입자 탐지용 디지털 신호처리 시스템을 구현하였다. 구현된 시스템의 성능은 실측 데이터로부터 분석되었다. 아울러 성능을 향상시키기 위하여 적응 디지털 필터를 도입하였다. 실험 결과 침입자 탐지는 96 % 이상이었으며, 사람과 차량을 구분하는 성능은 평균 90 %로 나타났다.

실시간감시를 위한 광섬유 ROTDR센서의 탐지특성 연구 (A Study on Detection Characteristic of Fiber Optic ROTDR Sensor for Real-Time Mornitoring)

  • 박형준;김인수
    • 전기전자학회논문지
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    • 제20권4호
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    • pp.367-372
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    • 2016
  • 외부 지역에서 침투하는 외부침입자에 대한 침입탐지를 위한 기초적인 연구 수행을 위하여 광섬유 ROTDR (Rayleigh Optical Time Domain Reflectometer) 센서를 설계 및 기초 연구를 수행하였다. 외부침입자를 탐지하기 위한 센서는 침입 탐지판을 제작하여 모래 속에 매설하여 실내에서 모형을 설치하여 침입탐지 실험을 수행하였다. ROTDR센서의 신호 분석은 검출정도에 따른 신호의 특성을 분석하였다. 광섬유 ROTDR 센서는 크게 20kg, 40kg, 60kg, 그리고 80kg 등의 무게별로 4등급으로 구분하여 넓은 영역에 걸쳐 외부 침입자를 감시하기 위한 장거리용을 사용하였다. 결과 본 논문에서의 광섬유 센서는 사회중요 기반시설의 외부침입자 감시용 실시간 모니터링의 응용에 가능함을 확인 하였다.

가청 주파수대 음장 변화 측정 기반 침입 감지 기술 (Intrusion detection based on the sound field variation of audible frequency band)

  • 이성규;박강호;양우석;김종대;김대성;김기현;왕세명
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2010년도 추계학술대회 논문집
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    • pp.187-192
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    • 2010
  • In this paper, intrusion detection technique based on the sound field variation of audio frequency in the security space is proposed. The sound field formed by sound source can be detected with the microphone when the obstacle or intruder is positioned. The sound field variation due to the intruder is based on the interference of audio wave. With the help of numerical simulation of sound field formations, the increase or decrease of sound pressure level is analyzed not only the obstacle, but also the intruder. Even the microphone is positioned behind the source, sound pressure level can be increase or decrease due to the interference. Frequency response test is performed with Gaussian white noise signal to get the whole frequency response from 0 to half of sampling frequency. There are three security cases. Case 1 is the situation of empty space with and without intruder, case 2 is the situation of blocking obstacle with and without intruder, and case 3 is the situation of side blocking obstacle with and without intruder. At each case, the frequency response is obtained first at the security space without intruder, and second with intruder. From the experiment, intruder size of $50cm{\times}50cm$ can be successfully detected with the proposed technique. Moreover, the case 2 or case 3 bring about bigger sound field variation. It means that the proposed technique have the potential of more credible security sensing in real situation.

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가청 주파수대 음장 변화 측정 기반 침입 감지 기술 (Intrusion Detection Based on the Sound Field Variation of Audible Frequency Band)

  • 이성규;박강호;양우석;김종대;김대성;김기현;왕세명
    • 한국소음진동공학회논문집
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    • 제21권3호
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    • pp.212-219
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    • 2011
  • In this paper, intrusion detection technique based on the sound field variation of audio frequency in the security space is proposed. The sound field formed by sound source can be detected with the microphone when the obstacle or intruder is positioned. The sound field variation due to the intruder is mainly caused by the interference of audio wave. With the help of numerical simulation of sound field formations, the increase or decrease of sound pressure level is analyzed not only by the obstacle, but also by the intruder. Even the microphone is positioned behind the source, sound pressure level can be increased or decreased due to the interference of sound wave. Frequency response test is performed with Gaussian white noise signal to get the whole frequency response from 0 to half of sampling frequency. There are three security cases. Case 1 is the situation of empty space with and without intruder, case 2 is the situation of blocking obstacle with and without intruder, and case 3 is the situation of side blocking obstacle with and without intruder. At each case, the frequency response is obtained first at the security space without intruder, and second with intruder. From the experiment, intruder size of diameter of 50 cm pillar can be successfully detected with the proposed technique. Moreover, the case 2 and case 3 bring about bigger sound field variation. It means that the proposed technique have the potential of more credible security guarantee in real situation.

PIR 센서 기반 침입감지 시스템 (Intruder Detection System Based on Pyroelectric Infrared Sensor)

  • 정연우;;조성원;정선태
    • 한국지능시스템학회논문지
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    • 제26권5호
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    • pp.361-367
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    • 2016
  • 기존 디지털 출력 방식의 PIR 센서를 이용한 침입감지 시스템은 사람이 아닌 다른 물체에 대한 침입 탐지 오류가 많았다. 본 논문은 이를 극복하기 위하여 아날로그 출력 방식의 PIR 센서 기반 침입 감지 시스템을 제안한다. 아날로그 방식 PIR 센서는 임계값을 기준으로 이진 출력값 대신, 일정 범위 내의 다양한 전압 준위로 출력값을 내보낸다. 아날로그 PIR 센서를 이용하여 획득된 신호의 샘플링된 신호값으로부터 FFT(Fast Fourier Transform) 또는 MFCC(Mel-frequency cepstrum codfficents)을 이용하여 신호의 주파수 성분을 추출하여, 인공 신경회로망(Artificial Neural Network)의 특징벡터로 사용된다. 다양한 인간의 움직임과 애완동물의 움직임에 대한 신호 패턴들을 학습한 인공 신경회로망을 통해서 침입상황에서 침입한 객체가 사람인지 애완동물인지 판별하게 된다.

경비용 로봇을 위한 전방향 카메라 장치 설계 (Omnidirectional Camera System Design for a Security Robot)

  • 김길수;도용태
    • 대한임베디드공학회논문지
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    • 제3권2호
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    • pp.74-81
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    • 2008
  • This paper describes a low-cost omnidirectional camera system designed for the intruder detection capability of a security robot. Moving targets on sequential images are detected first by an adaptive background subtraction technique, and the targets are identified as intruders if they fail to enter a password within a preset time. A warning message is then sent to the owner's mobile phone. The owner can check scene pictures posted by the system on the web. The system developed worked well in experiments including a situation when the indoor lighting was suddenly changed.

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Rule-Based Anomaly Detection Technique Using Roaming Honeypots for Wireless Sensor Networks

  • Gowri, Muthukrishnan;Paramasivan, Balasubramanian
    • ETRI Journal
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    • 제38권6호
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    • pp.1145-1152
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    • 2016
  • Because the nodes in a wireless sensor network (WSN) are mobile and the network is highly dynamic, monitoring every node at all times is impractical. As a result, an intruder can attack the network easily, thus impairing the system. Hence, detecting anomalies in the network is very essential for handling efficient and safe communication. To overcome these issues, in this paper, we propose a rule-based anomaly detection technique using roaming honeypots. Initially, the honeypots are deployed in such a way that all nodes in the network are covered by at least one honeypot. Honeypots check every new connection by letting the centralized administrator collect the information regarding the new connection by slowing down the communication with the new node. Certain predefined rules are applied on the new node to make a decision regarding the anomality of the node. When the timer value of each honeypot expires, other sensor nodes are appointed as honeypots. Owing to this honeypot rotation, the intruder will not be able to track a honeypot to impair the network. Simulation results show that this technique can efficiently handle the anomaly detection in a WSN.

무선 센서 네트워크에서의 침입탐지 모델의 분석 (Analyses of Intrusion Detection Model in Wireless Sensor Networks)

  • 김정태
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2009년도 추계학술대회
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    • pp.857-860
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    • 2009
  • Intrusion detection in Wireless Sensor Network (WSN) is of practical interest in many applications such as detecting an intruder in a battlefield. The intrusion detection is defined as a mechanism for a WSN to detect the existence of inappropriate, incorrect, or anomalous moving attackers. For this purpose, it is a fundamental issue to characterize the WSN parameters such as node density and sensing range in terms of a desirable detection probability. In this paper, we consider this issue according to two WSN models: homogeneous and heterogeneous WSN.

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광섬유 ROTDR센서를 이용한 사회기반시설물의 보안에 관한 연구 (Research on the Security of Infrastructures Using fiber Optic ROTDR Sensor)

  • 박형준;고광락;권일범
    • 비파괴검사학회지
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    • 제23권2호
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    • pp.140-147
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    • 2003
  • 광섬유 ROTDR (Rayleigh optical time domain reflectometry) 센서를 이용하여 중요 보안 대상체인 사회기반시설물에 침투하는 침입자의 위치와 무게 정도를 탐지할 수 있는 기초 연구를 수행하였다. 넓은 면적을 감지할 수 있는 매설형 광섬유 센서탐지판을 제작하고, 인가된 침입물체의 위치와 무게에 따른 신호특성을 고찰하였다. ROTDR 센서는 펄스 폭이 30ns이고, 광섬유의 길이는 10km 이상이다. 위치탐지오차는 약 3m 이내였으며, 무게에 따른 탐지능력은 20kgf, 40kgf, 60kgf의 세단계를 구분할 수 있음을 알 수 있었다.