Relevant bibliographies by topics / Pseudo-Random-Sequence Generator

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Academic literature on the topic 'Pseudo-Random-Sequence Generator'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Pseudo-Random-Sequence Generator"

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Nagy, Shady Ahmed, Mohamed A. El-Beltagy, and Mohamed Wafa. "Multilevel Monte Carlo by using the Halton sequence." Monte Carlo Methods and Applications 26, no. 3 (2020): 193–203. http://dx.doi.org/10.1515/mcma-2020-2065.

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AbstractMonte Carlo (MC) simulation depends on pseudo-random numbers. The generation of these numbers is examined in connection with the Brownian motion. We present the low discrepancy sequence known as Halton sequence that generates different stochastic samples in an equally distributed form. This will increase the convergence and accuracy using the generated different samples in the Multilevel Monte Carlo method (MLMC). We compare algorithms by using a pseudo-random generator and a random generator depending on a Halton sequence. The computational cost for different stochastic differential e
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Journal, Baghdad Science. "Stochastic Non-Linear Pseudo-Random Sequence Generator." Baghdad Science Journal 7, no. 2 (2010): 1042–46. http://dx.doi.org/10.21123/bsj.7.2.1042-1046.

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Many of the key stream generators which are used in practice are LFSR-based in the sense that they produce the key stream according to a rule y = C(L(x)), where L(x) denotes an internal linear bit stream, produced by small number of parallel linear feedback shift registers (LFSRs), and C denotes some nonlinear compression function. In this paper we combine between the output sequences from the linear feedback shift registers with the sequences out from non linear key generator to get the final very strong key sequence
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Rai, Jitender, and Farooq Seeru. "Chaos-based pseudo-random binary sequence generator." Global Sci-Tech 10, no. 1 (2018): 1. http://dx.doi.org/10.5958/2455-7110.2018.00001.0.

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Unkašević, Tomislav, Zoran Banjac, and Milan Milosavljević. "A Generic Model of the Pseudo-Random Generator Based on Permutations Suitable for Security Solutions in Computationally-Constrained Environments." Sensors 19, no. 23 (2019): 5322. http://dx.doi.org/10.3390/s19235322.

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Symmetric cryptography methods have an important role in security solutions design in data protection. In that context, symmetric cryptography algorithms and pseudo-random generators connected with them have strong influence on designed security solutions. In the computationally constrained environment, security efficiency is also important. In this paper we proposed the design of a new efficient pseudo-random generator parameterized by two pseudo-random sequences. By the probabilistic, information-theoretic and number theory methods we analyze characteristics of the generator. Analysis produc
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CHEN, Shuai, and Xian-xin ZHONG. "Chaotic block iterating method for pseudo-random sequence generator." Journal of China Universities of Posts and Telecommunications 14, no. 1 (2007): 45–48. http://dx.doi.org/10.1016/s1005-8885(07)60054-5.

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Semenkov, Alexey, Dmitry Bragin, Yakov Usoltsev, Anton Konev, and Evgeny Kostuchenko. "Generation of an EDS Key Based on a Graphic Image of a Subject’s Face Using the RC4 Algorithm." Information 12, no. 1 (2021): 19. http://dx.doi.org/10.3390/info12010019.

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Modern facial recognition algorithms make it possible to identify system users by their appearance with a high level of accuracy. In such cases, an image of the user’s face is converted to parameters that later are used in a recognition process. On the other hand, the obtained parameters can be used as data for pseudo-random number generators. However, the closeness of the sequence generated by such a generator to a truly random one is questionable. This paper proposes a system which is able to authenticate users by their face, and generate pseudo-random values based on the facial image that w
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Wang, Luyao, and Hai Cheng. "Pseudo-Random Number Generator Based on Logistic Chaotic System." Entropy 21, no. 10 (2019): 960. http://dx.doi.org/10.3390/e21100960.

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In recent years, a chaotic system is considered as an important pseudo-random source to pseudo-random number generators (PRNGs). This paper proposes a PRNG based on a modified logistic chaotic system. This chaotic system with fixed system parameters is convergent and its chaotic behavior is analyzed and proved. In order to improve the complexity and randomness of modified PRNGs, the chaotic system parameter denoted by floating point numbers generated by the chaotic system is confused and rearranged to increase its key space and reduce the possibility of an exhaustive attack. It is hard to spec
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Bilan, Stepan, Mykola Bilan, and Sergii Bilan. "Novel pseudo-random sequence of numbers generator based cellular automata." Collection "Information technology and security" 3, no. 1 (2015): 38–50. http://dx.doi.org/10.20535/2411-1031.2015.3.1.57710.

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ZHENG, Fan, Xiao-jian TIAN, Jing-yi SONG, and Xue-yan LI. "Pseudo-random sequence generator based on the generalized Henon map." Journal of China Universities of Posts and Telecommunications 15, no. 3 (2008): 64–68. http://dx.doi.org/10.1016/s1005-8885(08)60109-0.

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Zhao, Yi, Changyuan Gao, Jie Liu, and Shaozeng Dong. "A self-perturbed pseudo-random sequence generator based on hyperchaos." Chaos, Solitons & Fractals: X 4 (December 2019): 100023. http://dx.doi.org/10.1016/j.csfx.2020.100023.

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Dissertations / Theses on the topic "Pseudo-Random-Sequence Generator"

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Bayer, Tomáš. "Návrh hardwarového šifrovacího modulu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218076.

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This diploma’s thesis discourses the cryptographic systems and ciphers, whose function, usage and practical implementation are analysed. In the first chapter basic cryptographic terms, symmetric and asymetric cryptographic algorithms and are mentioned. Also usage and reliability are analysed. Following chapters mention substitution, transposition, block and stream ciphers, which are elementary for most cryptographic algorithms. There are also mentioned the modes, which the ciphers work in. In the fourth chapter are described the principles of some chosen cryptographic algorithms. The objective
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Weng, Chih-Chi, and 翁志齊. "High-Speed Pseudo Random Binary Sequence Generator." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/13756496845238039684.

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Arolla, Srihari, and Naga Venkata Sai Teja Gurrala. "PHYSICAL LAYER SECURITY USING PSEUDO-RANDOM SEQUENCE KEY GENERATION." Thesis, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16195.

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Nowadays, network security plays a major role in the field of wireless communications. Wired networks propagate electrical signals or pulses through cables. Whereas wireless signals propagate through the air. If wireless networks are left open and exposed to the outside world, there are high chances of being misused by others. The intruders take advantage of this, to intercept the wireless signals. This is the reason why an extra level of security is required for wireless networks. The physical layer is one of the important layers of the Open System Interconnection (OSI) model which plays an i
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陳泓志. "Design of Pseudo-Random Bit Sequence Generator Circuits with Built-in Clock." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/c5v4j8.

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碩士<br>國立高雄應用科技大學<br>電子工程系<br>105<br>In this thesis, two pseudo-random bit sequence (PRBS) generators and a three-stage ring voltage control oscillator were designed in TSMC 0.18mm complementary metal-oxide-semiconductor (CMOS) process. The sequence length of the PRBS generators with built-in clock was designed as 27-1. Using current-mode logic (CML) circuit structure, the PRBS generators can be operated at higher rate. The first PRBS generator used a linear feedback shift register structure, the operation rate of the circuit is 3-Gbps, the power consumption is 221.639 mW, and the chip area is
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LI, WEI-CHEN, and 李緯宸. "Design and Fabrication of High-Speed Pseudo-Random Bit Sequence Generator and Checker." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/59899987278825611134.

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碩士<br>國立高雄應用科技大學<br>電子工程系碩士班<br>104<br>In this thesis, pseudo-random bit sequence (PRBS) generator and PRBS checker integrated circuits and LC-tank voltage controlled oscillator (VCO) were designed in TSMC 90nm complementary metal-oxide-semiconductor (CMOS) process. The PRBS checker which can detect error bits and the PRBS generator which can add error bits are designed. The PRBS generator and checker circuits are integrated in a chip for bit error measurement. The chip can be applied in bit error testing for 2^7-1 sequence length, its operation rate is at 10Gb/s, its total power consumption i
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Lai, Hane-Ru, and 賴漢儒. "An Alternate Twofish Cipher with Variable S-boxes Sequence Determined by a Pseudo-Random Number Generator." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/49052053040191068843.

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碩士<br>國立臺北大學<br>通訊工程研究所<br>94<br>Encryption/Decryption is the key technique in the study of Information Security and Cryptography. Twofish, a 128-bit block cipher with a variable-length of the key up to 256 bits, is one of the five final candidates of the Advanced Encryption Standard (AES). Twofish is a 128-bit symmetric block cipher based on the structure of the Feistel network. Twofish cipher consists of 16 round operations each with a bijective F function to ensure maximum security. In each round, four key-dependent 8×8 S-boxes, a fixed 4×4 Maximal Distance Separable Matrix (MDS) over GF(28
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Jiang, Fu-Yun, and 江福運. "Design of 5 Gb/s Pseudo-Random Bit Sequence Generator and Checker Circuits Using MOS Current Mode Logic." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/65978203555915368019.

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碩士<br>國立高雄應用科技大學<br>電子工程系碩士班<br>103<br>In this thesis, two pseudo-random bit sequence (PRBS) generators with selectable sequence length and a PRBS checker were designed in TSMC 0.18μm complementary metal-oxide-semiconductor (CMOS) process. Using a 2×1 selector to choose the feedback path, the PRBS generators can generate the PRBS signal with different sequence length. Using current-mode logic (CML) D-type flip-flop (DFF), the PRBS generators can be operated at higher rate. The sequence length of the first PRBS generator can select 27-1 or 210-1, the circuit can be operated at 5 Gb/s, the power
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Santhosam, Charles L. "CDMA Base Station Receive Co-Processor Architecture." Thesis, 2004. http://hdl.handle.net/2005/318.

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Third generation mobile communication systems promise a greater data rate and new services to the mobile subscribers. 3G systems support up to 2 Mbps of data rate to a fixed subscriber and 144 Kbps of data rate to a fully mobile subscriber. Code Division Multiple Access (CDMA) is the air interface access scheme widely used in all the 3G communication systems. This access scheme has many inherent advantages m terms of noise immunity, security, coherent combining of multi path signals etc. But all these advantages come at the expense of higher complexity of the receivers. The receivers form the
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Book chapters on the topic "Pseudo-Random-Sequence Generator"

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Ma, Xujiong, Jiawu Yu, and Yinghong Cao. "A New Pseudo-random Sequence Generator Based on a Discrete Hyperchaotic System." In Green Energy and Networking. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21730-3_21.

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Feng, Kai, and Qun Ding. "Design and Implementation of Pseudo-Random Sequence Generator Based on Logistic Chaotic System and m-Sequence Using FPGA." In Advances in Intelligent Information Hiding and Multimedia Signal Processing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63859-1_44.

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Schneier, Bruce. "Pseudo-Random-Sequence Generators and Stream Ciphers." In Applied Cryptography, Second Edition. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119183471.ch16.

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Bakeva, Verica, Vesna Dimitrova, and Mile Kostadinoski. "Pseudo Random Sequence Generators Based on the Parastrophic Quasigroup Transformation." In ICT Innovations 2014. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09879-1_13.

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Paul, Aakash, and Shyamalendu Kandar. "Generation of Pseudo Random Sequence Using Modified Newton Raphson Method." In Communications in Computer and Information Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0404-1_18.

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Afify, Farag M., and Kamel Hussein Rahouma. "Applying Machine Learning for Securing Data Storage Using Random DNA Sequences and Pseudo-Random Sequence Generators." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69717-4_29.

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Ahmad, Musheer, M. N. Doja, and M. M. Sufyan Beg. "A New Chaotic Map Based Secure and Efficient Pseudo-Random Bit Sequence Generation." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5826-5_42.

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Sheela, S., and S. V. Sathyanarayana. "Generation of Pseudo-Random Binary Sequence Based on Cipher Feedback Chaotic System for Cryptographic Applications." In Data Engineering and Communication Technology. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0081-4_43.

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Swami, Deb Sunder, and Kandarpa Kumar Sarma. "A logistic-Map-Based PN Sequence for Stochastic Wireless Channels." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2342-0.ch008.

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The work in this chapter mainly focusses on a pseudo-noise (PN) sequence generator which is constructed exploiting the features of one-dimensional chaotic systems such as a logistic map. The use of logistic map to generate strong cryptographic sequences is novel in approach in terms of its use with a range of transmission techniques for wireless communication because it is easy to conceive and requires simple devices to generate the sequence. The generated sequence is used as a spreading sequence in a DS-SS modulation multipath environment with AWGN and Rayleigh fading channel, under various channel fading conditions. The BER curves and channel impulse responses are obtained and compared with the existing linear feedback shift register (LFSR) based PN sequence and Kasami sequence. Results from this comparative analysis indicate that the proposed method generally yields a greater number of reliable, unpredictable and random bits than existing techniques under the same conditions and can be practically implemented for DS-SS scheme as a spreading sequence.
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Bilan, Sergii. "Influence of Neighborhood Forms on the Quality of Pseudorandom Number Generators' Work Based on Cellular Automata." In Handbook of Research on Intelligent Data Processing and Information Security Systems. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1290-6.ch003.

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The chapter analyzes modern methods for constructing pseudo-random number generators based on cellular automata. Also analyzes the influence of neighborhood forms on the evolution of the functioning of cellular automata, as well as on the quality of the formation of pseudo-random bit sequences. Based on the use of various forms of the neighborhood for the XOR function, the quality of generators was analyzed using graphical tests and NIST tests. As a result of experimental studies, the optimal dimension of cellular automata and the number of heterogeneous cells were determined, which make it possible to obtain a high-quality pseudo-random bit sequence. The obtained results allowed to formulate a method for constructing high-quality pseudo-random number generators based on cellular automata, as well as to determine the necessary initial conditions for generators. The proposed generators allow to increase the length of the repetition period of a pseudo-random bit sequence.
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Conference papers on the topic "Pseudo-Random-Sequence Generator"

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Lanskikh, V. G., V. Yu Vakhrushev, and Yu V. Lanskikh. "Method of Synthesizing Non-Linear Pseudo-Random Sequence Generator." In 2018 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE, 2018. http://dx.doi.org/10.1109/icieam.2018.8728635.

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Gao, Yi, Shi-hao Hua, and Xi-liang Du. "FPGA-Based Logistic Chaotic Pseudo-Random Sequence Generator Design." In 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE). IEEE, 2020. http://dx.doi.org/10.1109/icmcce51767.2020.00183.

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Benssalah, Mustapha, Mustapha Djeddou, and Karim Drouiche. "Pseudo-random sequence generator based on random selection of an elliptic curve." In 2015 International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE, 2015. http://dx.doi.org/10.1109/cits.2015.7297719.

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Song, T. R., Q. S. Zhang, and X. Liu. "The design of pseudo-random sequence generator based on FPGA." In International conference on Communication Technology and Application. WIT Press, 2014. http://dx.doi.org/10.2495/cta140561.

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Pankaj, Asit Kumar Singh, and Bhupendra Singh Bora. "Design of enhanced pseudo-random sequence generator usable in GSM communication." In 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2016. http://dx.doi.org/10.1109/wispnet.2016.7566191.

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Katti, Raj S., and Sudarshan K. Srinivasan. "Efficient hardware implementation of a new pseudo-random bit sequence generator." In 2009 IEEE International Symposium on Circuits and Systems - ISCAS 2009. IEEE, 2009. http://dx.doi.org/10.1109/iscas.2009.5118025.

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Chen, Hong-Jhih, Jau-Ji Jou, and Tien-Tsorng Shih. "Design of pseudo-random bit sequence generator with adjustable sinusoidal jitter." In 2016 International SoC Design Conference (ISOCC). IEEE, 2016. http://dx.doi.org/10.1109/isocc.2016.7799778.

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Lokesh, S., and Manjunath R. Kounte. "Chaotic neural network based pseudo-random sequence generator for cryptographic applications." In 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT). IEEE, 2015. http://dx.doi.org/10.1109/icatcct.2015.7456845.

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Zhu, Congxu, Shuai Li, and Qin Lu. "Pseudo-random Number Sequence Generator Based on Chaotic Logistic-Tent System." In 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE). IEEE, 2019. http://dx.doi.org/10.1109/auteee48671.2019.9033389.

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Sakare, Mahendra. "A Quarter-Rate 27-1 Pseudo-Random Binary Sequence Generator Using Interleaved Architecture." In 2016 29th International Conference on VLSI Design and 2016 15th International Conference on Embedded Systems (VLSID). IEEE, 2016. http://dx.doi.org/10.1109/vlsid.2016.35.

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