• 정보처리학회논문지D
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• 제10D권3호
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• pp.541-546
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• 2003

본 논문에서는 디지털 지문 이미지를 잡음원으로 하는 난수 생성기를 제안한다. 생체 정보를 잡음원으로 하는 난수 생성기는 아직까지 세계적으로 제안되지 않고 있다. 제안한 난수 생성기는 한 지문에 대하여 평균 9,334 비트를 0.03초에 생성하며, 생성된 비트 열은 NIST에서 권장한 16개의 난수성 통계 검증들을 모두 통과하였다.

• Advances in aircraft and spacecraft science
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• 제2권2호
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• pp.217-232
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• 2015

To prevent over-testing of the test-item during random vibration testing Scharton proposed and discussed the force limited random vibration testing (FLVT) in a number of publications. Besides the random vibration specification, the total mass and the turn-over frequency of the load (test item), $C^2$ is a very important parameter for FLVT. A number of computational methods to estimate $C^2$ are described in the literature, i.e., the simple and the complex two degrees of freedom system, STDFS and CTDFS, respectively. The motivation of this work is to evaluate the method for the computation of a realistic value of $C^2$ to perform a representative random vibration test based on force limitation, when the adjacent structure (source) description is more or less unknown. Marchand discussed the formal description of getting $C^2$, using the maximum PSD of the acceleration and maximum PSD of the force, both at the interface between load and source. Stevens presented the coupled systems modal approach (CSMA), where simplified asparagus patch models (parallel-oscillator representation) of load and source are connected, consisting of modal effective masses and the spring stiffness's associated with the natural frequencies. When the random acceleration vibration specification is given the CSMA method is suitable to compute the value of the parameter $C^2$. When no mathematical model of the source can be made available, estimations of the value $C^2$ can be find in literature. In this paper a probabilistic mathematical representation of the unknown source is proposed, such that the asparagus patch model of the source can be approximated. The chosen probabilistic design parameters have a uniform distribution. The computation of the value $C^2$ can be done in conjunction with the CSMA method, knowing the apparent mass of the load and the random acceleration specification at the interface between load and source, respectively. Data of two cases available from literature have been analyzed and discussed to get more knowledge about the applicability of the probabilistic method.

• ETRI Journal
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• 제42권4호
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• pp.518-526
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• 2020

This paper presents an efficient hardware random-number generator based on a beta source. The proposed generator counts the values of "0" and "1" and provides a method to distinguish between pseudo-random and true random numbers by comparing them using simple cumulative operations. The random-number generator produces labeled data indicating whether the count value is a pseudo- or true random number according to its bit value based on the generated labeling data. The proposed method is verified using a system based on Verilog RTL coding and LabVIEW for hardware implementation. The generated random numbers were tested according to the NIST SP 800-22 and SP 800-90B standards, and they satisfied the test items specified in the standard. Furthermore, the hardware is efficient and can be used for security, artificial intelligence, and Internet of Things applications in real time.

• 한국정밀공학회지
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• 제11권1호
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• pp.166-176
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• 1994

The problem of reducing the vibration level of elastic plates driven by multiple random point forces is analyzed in this study. First, the analytical solution for the vibration level of finite thin plates with four simply supported edges under the action of multiple random point force is derived. By assuming the plates to be lightly damped, an approximate solution for the vibration level of the plate is obtained. A numerical study is carried out to determine an optimal spacing distance between the multiple point forces in order to produce a relative minimum in the plate's vibration level. The optimal spacing distance is shown to depend on the given excitation band. The effects of wave cancellation in the near field of the multiple point forces are discussed by using the equivalence of certain stationary random responses and deterministic pulse responese.

• 융합보안논문지
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• 제20권2호
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• pp.69-76
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• 2020

블록체인 2.0은 프로그래밍 가능한 스마트계약을 사용하여 다양한 DApp(Distributed Application) 개발을 지원한다. 하지만 스마트계약이 동작하는 환경은 블록 높이, 블록 해쉬, 트랜잭션 해쉬 등 결정된 데이터만 접근할 수 있어서 블록체인 기반 복권, 배팅, 키 생성 등 난수를 필요로 하는 응용은 블록체인 외부에서 데이터를 가져 올 수 있는 오라클 서비스를 이용해야 한다. 본 논문에서는 난수 생성 오라클 서비스를 개발하였다. 또한 난수 생성을 위해 비정형 빅데이터를 entropy source로 사용하였다. 이렇게 생성된 난수를 NIST SP800-22 난수 테스트하여 난수로 사용할 수 있음을 확인하였다. 또한, 물리적 세계를 entropy source로 사용하는 기존의 진성난수 생성기에 비해서 비용측면에서 유리함을 설명한다.

• 설비공학논문집
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• 제13권7호
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• pp.621-626
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• 2001

The flow induced noise of the cross-flow fan with uniform/random pitch blades is predicted by computational methods. With the time dependent surface pressure data obtained by solving the incompressible Navier-Stokes equations in moving coordinates, the acoustic pressure is predicted by the Ffowcs Williams-Hawkings equation. The positions of the blade noise source are identified through an investigation of the acoustic pressure history induced by one blade, and it is confirmed that the dominant noise source is near the stabilizer. Since the acoustic pressure of the random pitch fan fluctuates according to the blade passin, the dominant BPF noise of the uniform pitch fan is modulated into some reduced discrete noises which have multiples of a 50Hz difference from BPF.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제16권4호
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• pp.415-420
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• 2010

보안을 위한 암호 키는 진난수 발생기를 사용하여 만들어야 한다. 진난수 발생기는 상태 예측이 거의 불가능한 혼란 진원지에서 초기값을 추출하여 비가역적 해시 알고리즘을 적용해 난수를 만들어 낸다. DRAM 접근 대기 시간(latency)에도 불규칙성이 존재하여 혼란 진원지 역할을 할 수 있음이 알려져 있는데, 요즘 널리 사용되는 동기식 DRAM (SDRAM)을 장착한 시스템에서는 접근 대기 시간의 불규칙성이 잘 노출되지 않으며, 난수 비트 패턴의 뭉침 현상이 심해진다. 이 문제를 xor 연산을 사용하여 해결하였다. 이 방법으로 만든 난수를 통계학적으로 평가하여 진난수에 필적하는 품질을 확인하였다. 이와 같은 난수 발생 방법의 성능은 100 Kbits/sec 수준이며, 별도의 장치나 회로를 요구하지 않아 DRAM을 장착하고 있는 여러 형태의 컴퓨터 장비에서 사용 가능하다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3268-3283
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• 2018

With the advent of the Information Age, the source identification of digital images, as a part of digital image forensics, has attracted increasing attention. Therefore, an effective technique to identify the source of digital images is urgently needed at this stage. In this paper, first, we study and implement some previous work on image source identification based on sensor pattern noise, such as the Lukas method, principal component analysis method and the random subspace method. Second, to extract a purer sensor pattern noise, we propose a sample selection method to improve the random subspace method. By analyzing the image texture feature, we select a patch with less complexity to extract more reliable sensor pattern noise, which improves the accuracy of identification. Finally, experiment results reveal that the proposed sample selection method can extract a purer sensor pattern noise, which further improves the accuracy of image source identification. At the same time, this approach is less complicated than the deep learning models and is close to the most advanced performance.

• 한국산학기술학회논문지
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• 제13권2호
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• pp.755-759
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• 2012

본 논문에서는 의학, 게임분야에서 활용되는 하드웨어 기반의 난수 발생기에 관한 것이다. 인텔은 하드웨어 기반 실난수 발생기의 보안성에 대한 가이드라인을 제시한 바 있다. 주로 존슨 열 잡음원을 사용하며, 듀얼 오실레이터나 폰 노이만 수집기를 적용하고 있다. 하드웨어 기반의 난수 발생기는 NIST 통계검정, FIPS140-1을 포함한 다양한 테스트 유형을 적용하고 있다. 본 논문에서는 하드웨어 잡음원의 출력열에 필터링 기법 영향으로부터 난수성 변화 정도를 측정하였다.

• Journal of information and communication convergence engineering
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• 제8권5호
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• pp.539-543
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• 2010

We present a random bit generator that uses fingerprint image for the source of random, and random bit generator using fingerprint image for the randomness has not been presented as yet. Fingerprint image is affected by the operational environments including sensing act, nonuniform contact and inconsistent contact, and these operational environments make FPI to be used for the source of random possible. Our generator produces, on the average, 9,334 bits a fingerprint image in 0.03 second. We have used the NIST SDB14 test suite consisting of sixteen statistical tests for testing the randomness of the bit sequence generated by our generator, and as the result, the bit sequence passes all sixteen statistical tests.