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Randomness improvement of AES using MKP
Published 2013“…In previous work we proposed a Multiple-key Protocol (MKP) for AES algorithm. In this paper we tested the randomness of MKP-AES algorithm by using the diehard statistical tests software. …”
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On randomness of compressed data using non-parametric randomness tests
Published 2018“…Four randomness tests were used to test the outputs (compressed files) of four lossless compressions algorithms: JPEG-LS and JPEG-2000 algorithms are image-dedicated algorithms, while 7z and Bzip2 algorithms are generalpurpose algorithms. …”
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Randomness Tests On Nine Data Categories Of RECTANGLE Using NIST Statistical Test Suite
Published 2024Article -
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Classification of Diabetes Mellitus (DM) using Machine Learning Algorithms
Published 2021“…Whereas for the German Frankfurt dataset, best DM classification model was found using Random Forest algorithm with an accuracy of 98.77%.…”
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Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network
Published 2014“…The EVFA approach can relocate the sensor nodes using a repulsive and attractive force after initial deployment and CS algorithm is more efficient in exploring the search of maximum coverage area in random deployment. …”
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Security analysis of blowfish algorithm
Published 2013“…We analyzed the randomness of the Blowfish output in an earlier paper titled “Randomness Analysis on Blowfish Block Cipher using ECB and CBC Modes”. …”
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Analysis and Modification of Grain - 128 Stream Cipher Algorithm
Published 2024thesis::master thesis -
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Hybrid optimization approach to estimate random demand
Published 2012“…The main objective of this study is to develop a demand forecasting model that should reflect the characteristics of random demand patterns.To accomplish this goal, a hybrid algorithm combining a genetic algorithm and a local search algorithm method was developed to overcome premature convergence in local optima problems.The performance of the hybrid algorithm was compared with a single algorithm model in estimating parameter values that minimize objective function which was used to measure the goodness-of-fit between the observed data and simulated results.However, two problems had to be overcome in the forecasting random demand model. …”
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A fault syndromes simulator for random access memories
Published 2008“…At present, the March test algorithm is used to detect and diagnose all faults related to Random Access Memories. …”
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A true random number generator for crypto embedded systems
Published 2006“…Random number generators (RNG) are required to generate public/private key pairs for asymmetric algorithm such as RSA and symmetric algorithm such as AES. …”
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Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm
Published 2024“…This paper presents an improved machine learning approach for the accurate and robust state of charge (SOC) in electric vehicle (EV) batteries using differential search optimized random forest regression (RFR) algorithm. …”
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An improved algorithm for iris classification by using support vector machine and binary random machine learning
Published 2018“…The first objective of this study is to improve a new algorithm technique for classification. The new algorithm come from a combination of an ideas of k-NN algorithm and ensemble concept. …”
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African Buffalo Optimization and the Randomized Insertion Algorithm for the Asymmetric Travelling Salesman’s Problems
Published 2016“…Similarly, both methods employ different search techniques in attempting solutions to the ATSP: while the African Buffalo Optimization uses the modified Karp-Steele technique, the Randomized Insertion employs random insertion mechanism. …”
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Statistical analysis on enhanced 3D-AES block cipher cryptographic algorithm / Nor Azeala Mohd Yusof
Published 2021“…Many algorithms such as AES, LED, KTANTAN, KATAN, L-Block, SIMON, SPECK, RECTANGLE, and GRAIN-128 have performed randomness test using NIST Statistical Test Suite. …”
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Security analysis of blowfish algorithm
Published 2013“…Blowfish algorithm (BA) is a symmetric block cipher with a 64-bit block size and variable key lengths from 32 bits up to a maximum of 448 bits.In order to measure the degree of security of blowfish algorithm, some cryptographic tests must be applied such as randomness test, avalanche criteria and correlation coefficient.In this paper we attempt to analyze the security of blowfish using avalanche criteria and correlation coefficient.We analyzed the randomness of the Blowfish output in an earlier paper titled “Randomness Analysis on Blowfish Block Cipher using ECB and CBC Modes”. …”
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