Search Results - (( global optimization method algorithms ) OR ( based operational rsa algorithm ))
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A hardware implementation of Rivest-Shamir-Adleman co-processor for resource constrained embedded systems
Published 2006“…The designed RSA coprocessor core is actually a modular exponentiation hardware engine, which is the basic arithmetic operation in implementing a RSA public key encryption and decryption algorithm. …”
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New signed-digit {0,1,3}-NAF scalar multiplication algorithm for elliptic curve over binary field
Published 2011“…Mathematical analysis is carried out to identify important features, advantages and disadvantages of the new signed-digit {0,1,3}-NAF scalar multiplication algorithm. Cost measurement is based on number of point operations per scalar throughout the execution of the scalar multiplication algorithm. …”
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New Lightweight Identity Based Encryption Algorithm for Mobile Device: Preliminary Study
Published 2012“…Elliptic curve method has shorter key size, smaller signature length, fast operations and high security working. Thus, it is suitable for mobile devices, it uses 160 bits key and provides the same security as RSA 1024 bits key.Some benefits are expected from this study to improve the encryption algorithm for mobile security.…”
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An analysis of the AAḃ asymmetric encryption scheme on embedded devices for IoT environment / Syed Farid Syed Adnan
Published 2019“…It is also not known how the algorithm would perform against the widely used RSA on resource-constrained platforms. …”
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A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems
Published 2018“…However, it undergoes the premature convergence problem for high dimensional problems because the algorithm converges rapidly. Therefore, we proposed a robust approach to solve this issue by hybridizing optimization algorithm, which is a combination of Cuckoo search algorithm and Hill climbing called CSAHC discovers many local optimum traps by using local and global searches, although the local search method is trapped at the local minimum point. …”
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Global gbest guided-artificial bee colony algorithm for numerical function optimization
Published 2018“…The two well-known honeybees-based upgraded algorithms, Gbest Guided Artificial Bee Colony (GGABC) and Global Artificial Bee Colony Search (GABCS), use the foraging behavior of the global best and guided best honeybees for solving complex optimization tasks. …”
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Performance analysis and improvement of rabin primitive based cryptosystems
Published 2014“…The encryption process for the AAβ cryptosystem is easy and fast as operations involved only add and multiply operations. …”
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An improved public key cryptography based on the elliptic curve
Published 2002“…Moreover, the new formula can be used more efficiently when it is combined with the suggested sparse elements algorithms. To speed up the underlying finite field operations, several new algorithms are introduced namely: selecting random sparse elements algorithm, finding sparse base points, sparse multiplication over polynomial basis, and sparse multiplication over normal basis. …”
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A Comparison of Particle Swarm optimization and Global African Buffalo Optimization
Published 2020“…However, in this paper, a comparison between Particle Swarm Optimization (PSO) and Global African Buffalo Optimization (GABO) algorithms was performed. …”
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Hybridizing Invasive Weed Optimization with Firefly Algorithm for Unconstrained and Constrained Optimization Problems
Published 2017“…This study presents a hybrid invasive weed firefly optimization (HIWFO) algorithm for global optimization problems. …”
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Enhancement of {0, 1, 3}-NAF Recoding Algorithm using Block Method Technique for Elliptic Curve Cryptosystem
Published 2015“…The result from the input data yielded the following results: The proposed algorithm has overall 86% speed up in comparison to the base algorithm. …”
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Global Particle Swarm Optimization for High Dimension Numerical Functions Analysis
Published 2014“…The Particle Swarm Optimization (PSO) Algorithm is a popular optimization method that is widely used in various applications, due to its simplicity and capability in obtaining optimal results. …”
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A Novel Discrete Filled Function Algorithm in Solving Discrete Optimization Problems (S/O: 12408)
Published 2016“…Several global methods have been proposed for solving discrete optimization problems. …”
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Algorithmic Loan Risk Prediction Method Based on PSO-EBGWO-Catboost
Published 2024“…In this method, the Gray Wolf optimized algorithm (EBGWO) is further optimized by particle swarm optimization (PSO), and when combined with it, the convergence performance of the model is improved, the parameters of the model are reduced, and the model is simplified. …”
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Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications
Published 2023“…Carbon; Decarbonization; Electric energy storage; Fossil fuels; Global warming; Renewable energy resources; Carbon emissions; Decarbonisation; Energy storage system; Method; Microgrid; Optimal energy; Optimization algorithms; Sizing; Storage systems; System sizings; Cost effectiveness…”
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Global optimization method for continuous - Time sensor scheduling
Published 2010“…We consider a situation in which several sensors are used to collect data for signal processing since operating multiple sensors simultaneously canses system interference, only one sensor can be active at any one time.The problem of scheduling a discrete-valued optimal control problem.This problem cannot be solved using conventional optimization problem.The Transformed problem is then decomposed into a bi-level optimization problem, which is solved using a discreate filled function method in conjunction with a conventional optimal control algorithm.Numerical results show that our algorithm is robust, efficient, and reliable in attaining a near globally optimal solution.…”
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