• Title/Summary/Keyword: Cellular automata (CA)

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Distinguish Attack of block ciphers based on Reversible Cellular Automata (가역 셀룰러 오토마타 기반 블록 암호에 대한 취약점 분석)

  • Ryu, Han-Seong;Lee, Je-Sang;Lee, Chang-Hoon;Sung, Jae-Chul;Hong, Seok-Hie
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2008.02a
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    • pp.59-61
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    • 2008
  • 셀룰러 오토마타(CA:cellular automata)의 특징 중에서 확산(Diffusion)과 국소적인 상호 작용(Local Interaction)은 암호시스템을 설계하는데 적합하여 암호 알고리즘, 의사난수 생성기를 비롯한 암호시스템의 설계 논리로 활용되고 있다. 본 논문에서는 2004년에 제안된 가역 셀룰러 오토마타 기반 블록 암호(BCRCA)에 대한 취약점 분석을 소개한다. BCRCA는 224 비트의 안전성을 가져야 하지만, 균일한 키를 이용할 경우 통계적 취약점을 이용하여 191.8 비트의 안전성을 갖는다.

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Perfect Hashing Algorithm Using TPSACA (TPSACA를 이용한 완전 해싱 알고리즘)

  • 김석태;이석기;최언숙;조성진
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.6
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    • pp.1047-1054
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    • 2004
  • One of the fundamental problems in computer science is how to store information so that it can be searched and retrieved efficiently. Hashing is a technique which solves this problem. In this paper, we propose a tree construction algorithm using linear two-predecessor single attractor cellular automata C and its complemented cellular automata. Also by using the concept of MRT we give a perfect hasing algorithm based on C.

1D FN-MLCA and 3D Chaotic Cat Map Based Color Image Encryption (1차원 FN-MLCA와 3차원 카오틱 캣 맵 기반의 컬러 이미지 암호화)

  • Choi, Un Sook
    • Journal of Korea Multimedia Society
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    • v.24 no.3
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    • pp.406-415
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    • 2021
  • The worldwide spread of the Internet and the digital information revolution have resulted in a rapid increase in the use and transmission of multimedia information due to the rapid development of communication technologies. It is important to protect images in order to prevent problems such as piracy and illegal distribution. To solve this problem, I propose a new digital color image encryption algorithm in this paper. I design a new pseudo-random number generator based on 1D five-neighborhood maximum length cellular automata (FN-MLCA) to change the pixel values of the plain image into unpredictable values. And then I use a 3D chaotic cat map to effectively shuffle the positions of the image pixel. In this paper, I propose a method to construct a new MLCA by modeling 1D FN-MLCA. This result is an extension of 1D 3-neighborhood CA and shows that more 1D MLCAs can be synthesized. The safety of the proposed algorithm is verified through various statistical analyses.

Design and Analysis of Pseudorandom Number Generators Based on Programmable Maximum Length CA (프로그램 가능 최대길이 CA기반 의사난수열 생성기의 설계와 분석)

  • Choi, Un-Sook;Cho, Sung-Jin;Kim, Han-Doo;Kang, Sung-Won
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.2
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    • pp.319-326
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    • 2020
  • PRNGs(Pseudorandom number generators) are essential for generating encryption keys for to secure online communication. A bitstream generated by the PRNG must be generated at high speed to encrypt the big data effectively in a symmetric key cryptosystem and should ensure the randomness of the level to pass through the several statistical tests. CA(Cellular Automata) based PRNGs are known to be easy to implement in hardware and to have better randomness than LFSR based PRNGs. In this paper, we design PRNGs based on PMLCA(Programable Maximum Length CA) that can generate effective key sequences in symmetric key cryptosystem. The proposed PRNGs generate bit streams through nonlinear control method. First, we design a PRNG based on an (m,n)-cell PMLCA ℙ with a single complement vector that produces linear sequences with the long period and analyze the period and the generating polynomial of ℙ. Next, we design an (m,n)-cell PC-MLCA based PRNG with two complement vectors that have the same period as ℙ and generate nonlinear sequences, and analyze the location of outputting the nonlinear sequence.

Modified March Algorithm Considering NPSFs (NPSFs를 고려한 수정된 March 알고리즘)

  • Kim, Tae-Hyeong;Yun, Su-Mun;Park, Seong-Ju
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.37 no.4
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    • pp.71-79
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    • 2000
  • The original March algorithms cannot detect CMOS ADOFs(Address Decoder Open Faults) which requires separate deterministic test patterns. Modified March algorithm using DOF(Degree of Freedom) was suggested to detect these faults in addition to conventional stuck faults. This paper augments the modified march test to further capture NPSFs(Neighborhood Pattern Sensitive Faults). Complete CA(Cellular Automata) is used for address generation and Rl-LFSRs(Randomly Inversed LFSRs) for data generation. A new modified March algorithm can detect SAF, CF, TF, CMOS ADOFs, and part of NPSFs. Time complexity of this algorithm is still O(n).

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Optimal lay-up of hybrid composite beams, plates and shells using cellular genetic algorithm

  • Rajasekaran, S.;Nalinaa, K.;Greeshma, S.;Poornima, N.S.;Kumar, V. Vinoop
    • Structural Engineering and Mechanics
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    • v.16 no.5
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    • pp.557-580
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    • 2003
  • Laminated composite structures find wide range of applications in many branches of technology. They are much suited for weight sensitive structures (like aircraft) where thinner and lighter members made of advanced fiber reinforced composite materials are used. The orientations of fiber direction in layers and number of layers and the thickness of the layers as well as material of composites play a major role in determining the strength and stiffness. Thus the basic design problem is to determine the optimum stacking sequence in terms of laminate thickness, material and fiber orientation. In this paper, a new optimization technique called Cellular Automata (CA) has been combined with Genetic Algorithm (GA) to develop a different search and optimization algorithm, known as Cellular Genetic Algorithm (CGA), which considers the laminate thickness, angle of fiber orientation and the fiber material as discrete variables. This CGA has been successfully applied to obtain the optimal fiber orientation, thickness and material lay-up for multi-layered composite hybrid beams plates and shells subjected to static buckling and dynamic constraints.

Development of Two-lane Highway Vehicle Model Based on Discrete Time and Space (이산적 시공간 기반 2차로 도로 차량모형 개발)

  • Yoon, Byoung Jo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.6D
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    • pp.785-791
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    • 2011
  • Two-lane and two-way traffic flow shows various dynamic relationships according to the behaviors of low-speed vehicle and overtaking. And it is essential to develop a vehicle model which simultaneously explains the behaviors of low-speed vehicle and overtaking using opposite lane in order to microscopically analyze various two-lane and two-way traffic flows by traffic flow simulation. In Korea, some studies for car-following and lane-changing models for freeway or signalized road have been reported, but few researches for the development of vehicle model for two-lane and two-way highway have been done. Hence, a microscopic two-lane and two-way vehicle model was, in this study, developed with the consideration of overtaking process and is based on CA (Cellular Automata) which is one of discrete time-space models. The developed model is parallel combined with an adjusted CA car-following model and an overtaking model. The results of experimental simulation showed that the car-following model explained the various macroscopic relationships of traffic flow and overtaking model reasonably generated the various behaviors of macroscopic traffic flows under the conditions of both opposite traffic flow and stochastic parameter to consider overtaking. The vehicle model presented in this study is expected to be used for the simulation of more various two-lane, two-way traffic flows.

A Land Use Planning Model for Supporting Improvement of Rural Villages ( I ) - Development of Model using GIS, CA and MCE - (농촌마을 개발계획 지원을 위한 토지 이용계획 모형( I ) - GIS, CA 및 MCE 법을 이용한 모형의 개발 -)

  • Chung, Ha-Woo;Choi, Jin-Yong;Kim, Dae-Sik
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.44 no.4
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    • pp.85-98
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    • 2002
  • The purpose of this study is to develop a land use planning model (LUPM) which can be applied to development of rural villages considering their spatial expansion. The LUPM finds out and allocates the new built site required for the improvement of existing villages. in the development of LUPM, CA (cellular automata) and land suitability analysis methods were applied combinedly. The model uses basically numerical data of CIS based on grid data. Agglomerated settlement, as a type of village for simulation, was adopted. Probability of land use change for optimizing development area was calculated by the six criteria: slope. drainage characteristic, direction of slope, as absolute suitability of grid itself, distance from road. distance from stream and distance from the village center, as relative probability by neighborhood cells. Weighting values of these criteria were quantified by AHP (analytic hierarchy process) method, which is one of MCE(multi-criteria evaluation) method. The algorithm of the model was verified by three example villages: an isolation village, a village with horizontal road, and a village with nodal point of cross road

An Indoor Pedestrian Simulation Model Incorporating the Visibility (가시성을 고려한 3차원 실내 보행자 시뮬레이션 모델)

  • Kwak, Su-Yeong;Nam, Hyun-Woo;Jun, Chul-Min
    • Spatial Information Research
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    • v.18 no.5
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    • pp.133-142
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    • 2010
  • Many pedestrian or fire evacuation models have been studied last decades for modeling evacuation behaviors or analysing building structures under emergency situations. However, currently developed models do not consider the differences of visibility of pedestrians by obstacles such as furniture, wall, etc. The visibility of pedestrians is considered one of the important factors that affect the evacuation behavior, leading to making simulation results more realistic. In order to incorporate pedestrian's visibility into evacuation simulation, we should be able to give different walking speeds according to differences of visibility. We improved the existing floor field model based on cellular automata in order to implement the visibility. Using the space syntax theory, we showed how we split the indoor spaces depending on the different visibilities created by different levels of structural depths. Then, we improved the algorithm such that pedestrians have different speeds instead of simultaneous movement to other cells. Also, in order for developing a real time simulation system integrated w ith indoor sensors later, we present a process to build a 3D simulator using a spatial DBMS. The proposed algorithm is tested using a campus building.

Predicting Land Use Change Affected by Population Growth by Integrating Logistic Regression, Markov Chain and Cellular Automata Models

  • Nguyen, Van Trung;Le, Thi Thu Ha;La, Phu Hien
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.4
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    • pp.221-230
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    • 2017
  • Demographic change was considered to be the most major driver of land use change although there were several interacting factors involved, especially in the developing countries. This paper presents an approach to predict the future land use change using a hybrid model. A hybrid model consisting of logistic regression model, Markov chain (MC), and cellular automata (CA) was designed to improve the performance of the standard logistic regression model. Experiment was conducted in Giao Thuy district, Nam Dinh Province, Vietnam. Demography and socio-economic variables dealing with urban sprawl were used to create a probability surface of spatio-temporal states of built-up land use for the years 2009, 2019, and 2029. The predicted land use maps for the years 2019 and 2029 show substantial urban development in the area, much of which are located in areas sensitive to source protections. It also showed that aquacultural land changes substantially in areas where are in the vicinity of estuary or near the sea dike. There was considerable variation between the communes; notably, communes with higher household density and higher proportion of people in working age have larger increases in aquacultural areas. The results of the analysis can provide valuable information for local planners and policy makers, assisting their efforts in constructing alternative sustainable urban development schemes and environmental management strategies.