Search Results - (( mobile applications ((rsa algorithm) OR (_ algorithm)) ) OR ( its application bayes algorithm ))

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    RSA algorithm performance in short messaging system exchange environment by Mohamad Tahir, Hatim, Madi, Tamer N. N., Husin, Mohd Zabidin, Puteh, Nurnasran

    Published 2011
    “…This sensitive information should be totally secure and reliable to exchange.This urgent need for secure SMS, led to drive for RSA implementation, which is considered one of the strongest algorithms in security since we are going to bring big security into small device.Our main goal in this project is to design an experimental test bed application in order to use this application in evaluating the performance of RSA. …”
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    Conference or Workshop Item
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    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. …”
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    Thesis
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    Sentiment Analysis on Users' Satisfaction for Mobile Banking Apps in Malaysia by Misinem, ., Tri Basuki, Kurniawan, Mohd Zaki, Zakaria, Muhammad Aqil Azfar, Uzailee

    Published 2022
    “…The best accuracy result shows 94.37% by the Decision Tree algorithm, and Naïve Bayes obtained the worst outcome at 66%.…”
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    Article
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    A qualitative study of families of Edwards Curves and their applications in cryptography / Nurul Azwa Kamaruddin and Nurul Ain Mustakim by Kamaruddin, Nurul Azwa, Mustakim, Nurul Ain

    Published 2012
    “…Among those cryptosystems, there are three types of public key cryptographic systems that are currently considered both secure and efficient, classified according to the mathematical problems upon which they are based: the Integer Factorization Systems (of which the RSA algorithm is the most well known example), the Discrete logarithm Systems (such as the US Government’s Digital Signature Algorithm) and the Elliptic Curve Cryptosystem (ECC). …”
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    Research Reports
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    Text encryption using Elliptic Curve Cryptography (ECC) over binary finite field and Elgamal Cryptosyste / Ahmad Asif Bakhtiar Noor Noor Hamid, Nor Syazwani Nor Zailan and Syaza Fa... by Noor Hamid, Ahmad Asif Bakhtiar Noor, Nor Zailan, Nor Syazwani, Ishak, Syaza Farlisa

    Published 2019
    “…Cryptography consists of some algorithms but the most common algorithms that had been used are Elliptic Curve Cyptography (ECC) and Rivest-Shamir-Adleman (RSA). …”
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    Student Project
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    Sentiment analysis regarding marital issues using Naive Bayes algorithm / Farah Nabila Mohd Razali by Mohd Razali, Farah Nabila

    Published 2025
    “…This study explores the application of sentiment analysis using the Naive Bayes algorithm to understand public perceptions of marital issues, particularly factors contributing to the rising divorce rate. …”
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    Thesis
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    Digital certificate-based authentication model for enhanced smartphone security / A. H. Azni, Sakiinah Altaf Hussain and Najwa Hayaati Mohd Alwi by Azni, A. H., Altaf Hussain, Sakiinah, Mohd Alwi, Najwa Hayaati

    Published 2025
    “…This paper introduces an innovative authentication model for smartphones, integrating digital certificates and secret keys to securely encrypt and decrypt data. The model employs the RSA algorithm to generate encryption keys and authenticate user and device identities. …”
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    Article
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    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad by Ahmad, Nurul Atirah

    Published 2023
    “…This project implements the Naive Bayes algorithm as the classification algorithm. …”
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    Thesis
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    Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks by Abualsaud, Khalid, Mahmuddin, Massudi, Saleh, Mohammad, Mohamed, Amr

    Published 2014
    “…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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    Conference or Workshop Item