Search Results - (( evolution optimization mining algorithm ) OR ( data application rsa algorithm ))
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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Privacy in medical emergency system: cryptographic and security aspects
Published 2010“…The symmetric encryption AES with encryption key of an asymmetric algorithm (RSA). The symmetric key will be generated by application tier and be encrypted by RSA algorithm. …”
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Proceeding Paper -
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Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges
Published 2014“…Generally RSA algorithm gain a security support because of it’s frequently use in most applications where security of digital data is mostly a concern. …”
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An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe
Published 2017“…This paper proposes an efficient approach to improve Rivest Shamir Adleman (RSA) algorithm using parallel technique. RSA public-key cryptosystem has been the most popular and interesting security technique for majority of applications such as internet protocols, secure internet acces and electronic commerce. …”
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Implementation of Grid Computing for Cryptosystem (RSA)
Published 2005“…The RSA algorithm can be used for both public key encryption and digital signatures. …”
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Final Year Project -
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A hardware implementation of Rivest-Shamir-Adleman co-processor for resource constrained embedded systems
Published 2006“…This RSA co-processor core is able to encrypt and decrypt data with variable key lengths up to 4096 bits. …”
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Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
Published 2024“…During the retrieval phase, a new activation function and Swarm Mutation were proposed to ensure the diversity of the neuron states. The proposed algorithm and mutation mechanism showed optimal performances as compared to the existing algorithms. …”
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FPGA Implementation of RSA Public-Key Cryptographic Coprocessor
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Logic mining method via hybrid discrete hopfield neural network
Published 2025“…The first contribution involves the incorporation of a Hybrid Differential Evolution Algorithm to accelerate the optimization of synaptic weights during the training phase. …”
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User-Device Authentication Model With Digital Certificate For Smartphone User
Published 2024thesis::master thesis -
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
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Proposed system for data security in distributed computing in using triple data encryption standard and Rivest Shamir Adlemen
Published 2023“…The main drawback of the 3kRSA algorithm is its computation time, while 3DES is faster than that 3kRSA. …”
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Seed disperser ant algorithm for optimization / Chang Wen Liang
Published 2018“…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
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Comparison between RSA hardware and software implementation for WSNs sexcurity schemes
Published 2010“…The need of security to protect the data through networks has become of vital importance and critical for many sensor network applications. …”
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Proceeding Paper -
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RSA authentication mechanisms in control grid computing environment using Gridsim toolkit
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Conference or Workshop Item -
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A qualitative study of families of Edwards Curves and their applications in cryptography / Nurul Azwa Kamaruddin and Nurul Ain Mustakim
Published 2012“…There are many types of scheme used in encrypting a message so that it can be sent to a particular receiver from a particular sender without the third party knowing the content of the message known as cryptosystem. For example, RSA, DES (Data Encryption Standard), Symmetric Key Cryptography. …”
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Research Reports -
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…The experimental results show that predictive FDT algorithm can generate a relatively optimal tree without much computation effort (comprehensibility), and WFPRs have a better predictive accuracy of stock market time series data. …”
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