Search Results - (( integer implementation rsa algorithm ) OR ( java swarm optimization algorithm ))

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  1. 1

    Implementation of Grid Computing for Cryptosystem (RSA) by Abd Wahab, Mohamed Ferdaus

    Published 2005
    “…The RSA algorithm can be used for both public key encryption and digital signatures. …”
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    Final Year Project
  2. 2

    Implementation of High Speed Large Integer Multiplication Algorithm on Contemporary Architecture by Chang, Boon Chiao

    Published 2018
    “…CPU implementations are becoming less efficient in handling the computation of crypto algorithms. …”
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    Final Year Project / Dissertation / Thesis
  3. 3

    Extending Pollard class of factorable RSA modulus by Abd Ghafar, Amir Hamzah, Kamel Ariffin, Muhammad Rezal, Asbullah, Muhammad Asyraf

    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
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    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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    Thesis
  8. 8

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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    Thesis
  9. 9

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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    Thesis