Search Results - parallel integration ((encryption algorithm) OR (selection algorithm))
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Enhancing security performance with parallel crypto operations in SSL bulk data transfer phase
Published 2007“…The proposed algorithm performs the encryption of the data and the calculation of the MAC in parallel. …”
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2
Improving security performance with parallel crypto operations in SSL bulk data transfer
Published 2009“…The proposed algorithm performs the encryption of the data and the calculation of the MAC in parallel. …”
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Article -
3
Serpent encryption algorithm implementation on Compute Unified Device Architecture (CUDA)
Published 2010“…Result based on the integration of multiple block encryption in parallel shows throughput performance of up to 100MB/s or more than 7X performance gain.…”
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4
Serpent encryption algorithm implementation on Compute Unified Device Architecture (CUDA)
Published 2010“…Result based on the integration of multiple block encryption in parallel shows throughput performance of up to 100MB/s or more than 7X performance gain.…”
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5
An embedded database design and implementation of a parallel IEEE XTS storage encryption for mobile devices
Published 2017“…To ensure higher security level, the developed system is implemented using the NIST-certified XTS-AES block encryption algorithm. Other storage encryption algorithms, i.e. …”
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Thesis -
6
Cryptographic protection of block-oriented storage devices using AES-XTS in FPGA
Published 2013“…In addition AES-XTS decryption modules were also designed. Also the parallel AES-XTS encryption and decryption design were used to develop integrated chip of AES-XTS on FPGA. …”
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7
Unified GPU Technique to Boost Confidentiality, Integrity and Trim Data Loss in Big Data Transmission
Published 2020“…Confidentiality and integrity are further enhanced by integrating advanced audio steganography that uses a distinctive sample selection for hiding bits. …”
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Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA
Published 2010“…Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. …”
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Super Calculator using Compute Unified Device Architecture (CUDA)
Published 2009“…Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. …”
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Final Year Project -
10
CPU-based Application Transformation to CUDA: Transformation of CPU-based Applications To Leverage on Graphics Processors using CUDA
Published 2012“…Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. …”
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Book -
11
Parallel computation of maass cusp forms using mathematica
Published 2013“…Our parallel programme comprises of two important parts namely the pullback algorithm and also the Maass cusp form algorithm. …”
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12
Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…This research algorithm demonstrated a very promising result with Support Vector Machines, this algorithm produces a 90% of accuracies whereas the decision tree algorithm gets 100% accuracies. …”
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Final Year Project / Dissertation / Thesis -
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Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil
Published 2024“…Future work entails enhancing system robustness through comprehensive contingency planning, real-time data integration, and algorithmic optimization, with a focus on refining the genetic algorithm and exploring parallel processing techniques to further enhance efficiency and scalability.…”
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15
An integrated priority-based cell attenuation model for dynamic cell sizing
Published 2012“…A new, robust integrated priority-based cell attenuation model for dynamic cell sizing is proposed and simulated using real mobile traffic data.The proposed model is an integration of two main components; the modified virtual community – parallel genetic algorithm (VC-PGA) cell priority selection module and the evolving fuzzy neural network (EFuNN) mobile traffic prediction module.The VC-PGA module controls the number of cell attenuations by ordering the priority for the attenuation of all cells based on the level of mobile level of mobile traffic within each cell.The EFuNN module predicts the traffic volume of a particular cell by extracting and inserting meaningful rules through incremental, supervised real-time learning.The EFuNN module is placed in each cell and the output, the predicted mobile traffic volume of the particular cell, is sent to local and virtual community servers in the VC-PGA module.The VC-PGA module then assigns priorities for the size attenuation of all cells within the network, based on the predicted mobile traffic levels from the EFuNN module at each cell.The performance of the proposed module was evaluated on five adjacent cells in Selangor, Malaysia. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Here, the memory consumption can be reduced by enabling a feature selection algorithm that excludes nonrelevant features and preserves the relevant ones. the algorithm is developed based on the variable length of the PSO. …”
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Thesis -
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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Hybrid metaheuristics for QOS-aware service composition / Hadi Naghavipour
Published 2022“…As a result of this mapping study, five major hybridization strategies were identified in which two-third of solutions have been based on modifying algorithm operators or integration with another metaheuristic. …”
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Thesis -
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Job Matching Mobile Application using Fuzzy Analytic Hierarchy Process (FAHP) / Mohammad Ashraf Jefrizin
Published 2017“…Selecting a job is an important decision for each individual points of life. …”
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