Search Results - (( developing knowledge encryption algorithm ) OR ( java _ classification algorithm ))
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1
Implementation of (AES) Advanced Encryption Standard algorithm in communication application
Published 2014“…The aim of the thesis is to provide an overview of the ABS encryptiOn algorithm, to develop a prototype that is implemented for communication purpose, and to test the developed prototype in terms of accuracy purpose. …”
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Undergraduates Project Papers -
2
Ciphercrypt-an Encryption System / Nor Hidayah Ngah
Published 2004“…There arc 3 types of encryption algorithm provided which are 3-DES , RC 4 and RC2. …”
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Thesis -
3
Second Level Password Generator
Published 2010“…The two algorithms chosen to develop this system are Advanced Encryption Standard (AES) and Data Encryption Standard (DES). …”
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Conference or Workshop Item -
4
SANAsms: Secure short messaging system for secure GSM mobile communication
Published 2008“…J2ME phone and Symbian Operating System (OS) as the platform for the application to run. The encryption algorithm that implemented in the system is Advanced Encryption Standard (AES) with 128-bit block size and together with the SHA1 (Secure Hash Algorithm) hash functions. …”
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Conference or Workshop Item -
5
Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Undergraduates Project Papers -
6
Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…This system was developing base on to three main part which is data processing, testing and implementation of the algorithm. In this system a Bayesian algorithm was used in order to implement the system. …”
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Thesis -
7
Chaos synchronization and cryptography for secure communications / Fatin Nabila Abd Latiff
Published 2021“…For secure communication that is reliable, secure, and has good performance, the focus is on developing Double Encryption System (DES). The combination of synchronization of chaos and symmetric encryption is called DES. …”
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Thesis -
8
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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Thesis -
9
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…So, the integration of Artificial Neural Network (ANN) with an Expert System for material classification was explored. The computational tool, Matlab was proposed for classification with Levenberg-Marquardt training algorithm, which provided faster rate of convergence for feed forward network. …”
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Thesis -
10
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Thesis -
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Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin
Published 2012“…The image classification prototype is developed by using JAVA programming language which is based on supervised learning algorithm, Backpropagation Neural Network. …”
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Thesis -
13
A web-based implementation of k-means algorithms
Published 2022“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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Final Year Project / Dissertation / Thesis -
14
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The results reveal that the proposed hybrid algorithm is capable of achieving classification accuracy values of (95.82 % and 97.68 %), detection rates values of (95.8 % and 99.3 %) and false alarm rates values of (0.083 % and 0.045 %) on both KDD CUP 99 and NSL KDD. …”
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Thesis -
15
A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…It consists of 3-stage procedures: feature ranking, feature selection and classification. Subsequently, an experimental evaluation of the proposed Multi-Filter Feature Selection (M2FS) method is performed by using the benchmark dataset, NSL-KDD and employed the J48 classification algorithm. …”
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Conference or Workshop Item -
16
Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms
Published 2016“…The study proposes the use of software metric thresholds in the classification process during the GA representation. …”
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Thesis -
17
Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim
Published 2022“…HIDUP is different from any current image steganography system available in the market as it implements two different encryption algorithms, which are Libsodium and Bcrypt, to provide more security. …”
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Book Section -
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Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim
Published 2022“…HIDUP is different from any current image steganography system available in the market as it implements two different encryption algorithms, which are Libsodium and Bcrypt, to provide more security. …”
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Book Section -
19
Object-Oriented Programming semantics representation utilizing agents
Published 2011“…Generally, these source codes go through the preprocessing, comparison, extraction, generate program semantics and classification processes. A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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Article -
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Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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