Search Results - (( simulation optimization learning algorithm ) OR ( problem implementation rsa algorithm ))
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1
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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Thesis -
2
Implementation and Evaluation of Large Rsa Encryption and Decryption Keys For Internet Security
Published 2004“…Performance has always been the most critical characteristic of a cryptographic algorithm, which determines its effectiveness. In this research the most popular and used algorithm, which is RSA, is implemented with a new modification in order to reduce the calculation time of the algorithm. …”
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3
Comparison between RSA hardware and software implementation for WSNs sexcurity schemes
Published 2010“…In this study we compare the time complexity and power consumption between software and hardware implementation using RSA algorithm. Our simulation shows that usage of hardware security could improve time efficiency and decrease the power consumption, so the strong cryptography can be implemented in WSNs security.…”
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Proceeding Paper -
4
Modified multi-prime RSA using discriminant of a quadratic and Chinese remainder theorem / Nur Fatimah Kabulanto and Farah Aina Abdul Razak
Published 2018“…Many innovative ideas for RSA Cryptosystem have been presented for the past two decades, and many corresponding problems remain to be resolved. …”
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Student Project -
5
Implementing Station-to-Station protocol using Multi Prime RSA Cryptosystem / Muhammad Arif Musa Abdullah
Published 2023“…The result will also produce the algorithm for implementing Multi Prime RSA cryptosystem into Station-to-Station protocol. …”
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Student Project -
6
Extending Pollard class of factorable RSA modulus
Published 2018“…This is a reason why implementation in key generation algorithm of RSA cryptosystem requires its primes, p and q not to be constituted by small primes. …”
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Conference or Workshop Item -
7
New Lightweight Identity Based Encryption Algorithm for Mobile Device: Preliminary Study
Published 2012“…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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Conference or Workshop Item -
8
Opposition-based learning simulated kalman filter for Numerical optimization problems
Published 2016“…Simulated Kalman Filter (SKF) optimization algorithm is a population-based optimizer operated mainly based on Kalman filtering. …”
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Research Book Profile -
9
CHAOS AND PUBLIC KEY INFRASTRUCTURE (PKI)
Published 2004“…A major problem faced in this implementation has been solved while implementing the new logistic map scheme. …”
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Final Year Project -
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Investigating the Performance of Deep Reinforcement Learning-Based MPPT Algorithm under Partial Shading Condition
Published 2024“…These DRL-based algorithms optimize the local and global maximum power point (MPP) using deep Q-learning and deep deterministic policy gradient (DDPG). …”
Conference Paper -
12
Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms
Published 2025Subjects:Article -
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A Hybrid of Ant Colony Optimization Algorithm and Simulated Annealing for Classification Rules
Published 2013“…In the first proposed algorithm, SA is used to optimize the rule's discovery activity by an ant. …”
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Thesis -
14
Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…From the simulation result, by using these sensors information the AUTOWiSARD algorithm can successfully differentiate and classify states without supervision, while the Q-learning algorithm is able to produce and optimized states-actions policy. …”
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15
Enhancing simulated kalman filter algorithm using current optimum opposition-based learning
Published 2019“…Simulated Kalman filter (SKF) is a new population-based optimization algorithm inspired by estimation capability of Kalman filter. …”
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Article -
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Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity
Published 2018“…Consequently, this paper proposes a ranking self-adaptive differential evolution (rsaDE) feature selection algorithm. The proposed algorithm is capable of selecting the optimal feature subsets while improving the recognition of acceleration activity using a minimum number of features. …”
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Article -
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Opposition- based simulated kalman filters and their application in system identification
Published 2017“…Among the various kinds of optimization algorithms, Simulated Kalman Filter (SKF) is a new population-based optimization algorithm inspired by the estimation capability of Kalman Filter. …”
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Thesis -
18
Pressure vessel design simulation using hybrid harmony search algorithm
Published 2019“…Recently the development of optimization algorithm is rapidly increased. Among several optimization algorithms, Harmony Search (HS) has been recently proposed for solving engineering optimization problems. …”
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Conference or Workshop Item -
19
Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots
Published 2006“…Experiments were conducted within a 10% noise environment with different task environment complexities to investigate whether the MOEA is effective for controller synthesis. A simulated Khepera robot is evolved by a Pareto-frontier Differential Evolution (POE) algorithm, and learned through a 3-layer feed-forward artificial neural network, attempting to simultaneously fulfill two conflicting objectives of maximizing robot phototaxis behavior while minimizing the neural network's hidden neurons by generating a Pareto optimal set of controllers. …”
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Research Report -
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