• 한국통신학회논문지
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• 제38A권8호
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• pp.638-643
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• 2013

카오스 방정식의 초기 조건이 미세하게 변하면 전혀 다른 신호가 생성되기 때문에 카오스 통신은 초기 조건에 민감한 특징을 갖는다. 또한, 카오스 통신 시스템은 비주기성, 광대역성, 신호의 비예측성, 구현의 용이성 등의 특성을 가지고 있다. 이런 특징으로 인해 카오스 통신 시스템은 다른 시스템에 비해 보안성이 우수하게 평가된다. 하지만 기존 카오스 통신 시스템의 송신기와 수신기는 간섭 신호나 잡음에 영향을 많이 받기 때문에 BER 성능은 다른 디지털 시스템보다 나쁘게 평가된다. 그래서 카오스 통신 시스템의 BER 성능을 향상시키기 위한 연구가 지속적으로 이루어지고 있다. 본 논문에서는 BER 성능 향상을 위한 새로운 CDSK 수신기를 제안한다. 기존 CDSK 수신기와 제안한 CDSK 수신기의 BER 성능 비교와 제안한 CDSK 수신기의 BER 성능 향상을 평가한다. 또한, 새로운 CDSK 수신기를 사용할 때, 확산인자에 따른 BER 성능을 평가하여 최적의 확산인자를 찾는다. 새로운 CDSK 수신기를 사용하면 기존 CDSK 수신기보다 BER 성능이 향상되며 간섭 신호나 잡음의 영향을 거의 받지 않기 때문에 확산인자 값이 커질수록 BER 성능은 향상된다.

• 한국전자파학회논문지
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• 제24권10호
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• pp.987-993
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• 2013

카오스 통신 시스템은 신호의 비예측성, 광대역성, 비주기성, 구현의 용이성 등의 특징을 가지고 있다. 또한, 카오스 방정식의 초기 조건이 미세하게 변함에 따라 카오스 신호는 전혀 다른 신호가 되기 때문에, 카오스 통신은 초기 조건에 민감하다는 특징을 갖는다. 이런 특징으로 인해 카오스 통신 시스템은 다른 디지털 통신 시스템보다 보안성이 우수하게 평가된다. 하지만 기존 카오스 통신 시스템의 송수신기는 레퍼런스 신호나 잡음에 많은 영향을 받기 때문에, BER(Bit Error Rate) 성능은 다른 디지털 시스템보다 나쁘게 평가된다. 그래서 카오스 통신시스템의 BER 성능 향상과 관련된 연구는 지속적으로 활발하게 이루어지고 있다. 본 논문에서는 BER 성능 향상을 위한 새로운 CDSK(Correlation Delay Shift Keying) 수신기를 제안한다. 그리고 기존 수신기와 제안한 수신기의 BER 성능 비교를 통해서 제안한 수신기의 BER 성능 향상을 평가한다. 하지만 제안하는 수신기를 사용하는 경우 BER 성능은 크게 향상되지만, 기존의 송신기를 사용하면 제안하는 수신기뿐만 아니라, 비록 BER 성능은 안 좋더라도 기존의 수신기로도 정보 신호를 복원할 수 있다. 따라서 제안하는 수신기의 보안성을 향상시키기 위해서는 제안하는 수신기로만 정보 비트를 복원할 수 있는 새로운 CDSK 송신기를 제안한다. 제안하는 송신기를 이용하여 정보 신호를 전송하는 경우에 기존의 수신기로는 정보 신호를 복원할 수 없고, 제안한 수신기를 사용해야 정보 신호를 복원할 수 있다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2000년도 추계종합학술대회
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• pp.263-266
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• 2000

In this paper, we formed a transmitter and receiver by using two identical Chua's circuits and then formed wireless transmission line from the channel which was between those two circuits. We proposed a secure communication method in which the desired information signal was synthesized with the chaos signal created in a Chua's circuit and sent to the transmitter through channel. Then the signal was demodulated receiver of Chua's circuit. The method we used to accomplish the sun communication was synthesizing the desired information with the chaos circuit by parallel connection in a wireless transmission line. After transmitting the synthesized signal to the wireless transmission line, we confirmed the actuality of the secure communication by separating the information signal and the chaos signal in the receiver. In order to confirm the security, we compared the wiretapped signal and the recovery signal under the assumption that the wiretapping had taken place. In order to separate the two signals, we transformed the information signal to a current source in the transmitter and detected the current in the receiver.

• Journal of information and communication convergence engineering
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• 제1권4호
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• pp.223-228
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• 2003

In this paper, we introduce a hyper-chaos secure communication method using hyper-chaos circuit onsist of State-Controlled Cellular Neural Network SC-CNN). We make a hyper-chaos circuit using SC-CNN with the n-double scroll or Chua's oscillator. A hyper-chaos circuit is created by applying identical n-double scroll or non-identical n-double scroll and Chua's oscillator with weak coupled method to each cell. Hyper-chaos ynchronization was achieved using GS (Generalized Synchronization) method between the transmitter and receiver about each state variable in the SC-CNN. In order to secure communication, we have synthesizing the desired information with a hyper-chaos circuit by adding the information signal to the hyper-chaos signal using the SC-CNN in the transmitter. And then, transmitting the synthesized signal to the ideal channel, we confirm secure communication by separating the information signal and the hyper-chaos signal in the receiver.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.575-578
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• 2003

In this paper, we introduce a hyper-chaos secure communication method using Hyper-chaos consist of State-Controlled Cellular Neural Network (SC-CNN). A hyper-chaos circuit is created by applying identical n-double scroll with weak coupled method to each cell. Hyper-chaos synchronization was achieved using embedding synchronization between the transmitter and receiver about in SC CNN. And then, we accomplish secure communication by synthesizing the desired information with a hyper-chaos circuit by embedding the information signal to the only one state variable instead of all state variables in the driven-synchronization method. After transmitting the synthesized signal to the identical channel, we confirm secure communication by separating the information signal and the hyper-chaos signal in the receiver.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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• pp.231-234
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• 2000

In this paper, we formed a transmitter and receiver by using three identical Chuas circuits and then formed wire and wireless transmission line from the channel which was between those three circuits. We proposed a secure communication method in which the desired information signal was synthesized with the chaos signal created in a Chuas circuit and sent to the transmitter through channel. Then the signal was demodulated receiver of Chuas circuit. The method we used to accomplish the secure communication was synthesizing the desired information with the chaos circuit by parallel connection in a wireless transmission line. After transmitting the synthesized signal to the wire and wireless transmission line, we confirmed the actuality of the secure communication by separating the information signal and the chaos signal in the receiver.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2000년도 춘계종합학술대회
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• pp.238-241
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• 2000

In this paper, we formed a transmitter and receiver by using two identical Chua's circuits and then formed wireless transmission line from the channel which was between those two circuits. We proposed a secure communication method in which the desired information signal was synthesized with the chaos signal created in a Chua's circuit and sent to the transmitter through channel. Then the signal was demodulated receiver of Chua's circuit. The Method we used to accomplish the secure communication was synthesizing the desired information with the chaos circuit by parallel connection in a wireless transmission line. After transmitting the synthesized signal to the wireless transmission line, we confirmed the actuality of the secure communication by separating the information signal and the chads signal in the receiver. In order to confirm the security, we compared the wiretapped signal and the recovery signal under the assumption that the wiretapping had taken place. In order to separate the two signals, we transformed the information signal to a current source in the transmitter and detected the current in the receiver.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2069-2071
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• 2001

In this paper, a transmitter and a receiver using two identical Hyper-Chaos that n-double scroll circuits are proposed and a hyper-chaos synchronizations are investigated. we are proposed unidirectional coupling of ide n-double scroll cell for hyper-chaos synchronizat. We've shown that simulation result is synchronization.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2072-2074
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• 2001

In this paper, a transmitter and a receiver using two identical Hyper-Chaos that n-double scroll circuits are proposed and a hyper-chaos synchronizations and secure communication are investigated. we are proposed unidirectional coupling of identical n-double scroll cell for hyper-chaos synchronization. We've shown that simulation result is synchronization and secure communication.

• Journal of information and communication convergence engineering
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• 제1권4호
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• pp.217-222
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• 2003

In this paper, we introduce a hyper-chaos synchronization method using hyper-chaos circuit consist of State-Controlled Cellular Neural Network (SC-CNN). We make a hyper-chaos circuit using SC-CNN with the n-double scroll. A hyper-chaos circuit is created by applying identical n-double scroll or non-identical n-double scroll and Chua's oscillator with weak coupled method to each cell. Hyper-chaos synchronization was achieved using GS(Generalized Synchronization) method between the transmitter and receiver about each state variable in the SC-CNN.