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  1. 1
    Parallel Processing of RSAAlgorithm Using MPI Library

    Parallel Processing of RSAAlgorithm Using MPI Library by Wan Dagang, Wan Rahaya

    Published 2006
    “…The scope of this project is developing a parallel system to generate public and private key, and to encrypt and decrypt files using the algorithm of RSA. …”
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    Final Year Project
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  2. 2
    Implementation of Grid Computing for Cryptosystem (RSA)

    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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  3. 3
    A hardware implementation of Rivest-Shamir-Adleman co-processor for resource constrained embedded systems

    A hardware implementation of Rivest-Shamir-Adleman co-processor for resource constrained embedded systems by Paniandi, Arul

    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. The computation intensive modular multiplication operation is based on the Montgomery’s algorithm and implemented using systolic array architecture. …”
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    Thesis
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  4. 4
    Design of an advanced encryption standard crypto-processor core for field programmable gate array implementation

    Design of an advanced encryption standard crypto-processor core for field programmable gate array implementation by Ismail, Mohd. Izuan

    Published 2006
    “…The processors perform their respective dedicated algorithm-intensive computations. This thesis presents the architecture for implementation of the new Advanced Encryption Standard (AES) in hardware for operating under SoC environment. …”
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    Thesis
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  5. 5
    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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  6. 6
    Development of scalable video compression algorithm

    Development of scalable video compression algorithm by Khalifa, Othman Omran, Issa, Sinzobakwira, Abomhara, Mohamed

    Published 2011
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  7. 7
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    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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  8. 8
    Design and implementation of a private and public key crypto processor for next-generation it security applications

    Design and implementation of a private and public key crypto processor for next-generation it security applications by Hani, Mohamed Khalil, Wen, Hau Yuan, Paniandi, Arul

    Published 2006
    “…These dedicated crypto IP cores, which are implemented as coprocessors, permit high-speed execution of the compute-intensive operations in AES encryption, ECC and RSAbased digital signature, and other PKI-enabling functions. …”
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    Article
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  9. 9
    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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