Search Results - object ((((encryption algorithm) OR (selection algorithm))) OR (detection algorithm))

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  1. 1

    Database encryption for a Web-based Claims System by Syed Zulkarnain Syed Idrus

    Published 2008
    “…Testing was also done on the encryption algorithms and Web browsers selected by increasing both the text length size and key length size and observed its performances. …”
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    Thesis
  2. 2

    Campus safe: Safeguarding GPS-based Physical Identity and Access Management (PIAM) system with a lightweight Geo-Encryption by Yeo Zi Zian

    Published 2022
    “…Literature review and experiment aimed to select the fastest lightweight geo-encryption algorithms and the smallest ciphertext and key size. …”
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    Academic Exercise
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    Modified Miller-Rabin primality test algorithm to detect prime numbers for generating RSA keys by Shereek, Balkees Mohamed

    Published 2016
    “…The Rivest-Shamir-Adleman algorithm (RSA) is one of the most well-known and strongest public key cryptography algorithms. …”
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    Thesis
  6. 6

    Doctor-patient remote consultation system with secure medical images by Teh, Yee Heng

    Published 2022
    “…The result was recorded including the run time and encrypted image size. The final selection of the algorithms depended on the encryption size and computation speed. …”
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    Academic Exercise
  7. 7

    MotionSure: a cloud-based algorithm for detection of injected object in data in motion by Islam, Thouhedul, Olanrewaju, Rashidah Funke, Khalifa, Othman Omran

    Published 2017
    “…Total 1600 different type of files were used for evaluation of the proposed algorithm, results show that 87% of injected objects were correctly detected…”
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    Proceeding Paper
  8. 8

    Secure mobile AES encryptor (SMAE) by Satia, Anbalagan

    Published 2016
    “…The reason the AES encryption algorithm selected is because it is considered as one of the most secure encryption algorithm. …”
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    Undergraduates Project Papers
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    Data in transit validation for cloud computing using cloud-based algorithm detection of injected objects by Olanrewaju, Rashidah Funke, Islam, Thouhedul, Khalifa, Othman Omran, Fajingbesi, Fawwaz Eniola

    Published 2018
    “…A sum total of 1600 different file types were used during training then evaluation of the proposed algorithm, where 87% of the injected objects were correctly detected.…”
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    Article
  11. 11

    The fusion of edge detection and mathematical morphology algorithm for shape boundary recognition by Othman, Mahmod, Syed Abdullah, Sharifah Lailee, Ahmad, Khairul Adilah, Abu Bakar, Mohd Nazari, Mansor, Ab Razak

    Published 2016
    “…To address this problem, this paper proposes a fusion of selected edge detection algorithms with mathematical morphology to enhance the ability to detect the object shape boundary. …”
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    Article
  12. 12

    Edge Detection Algorithm For Image Processing Of Search And Rescue Robot by A/L Sivem, Prasanthran

    Published 2016
    “…Subsequently, Canny edge detection algorithm is selected as an efficient algorithm based on the comparison made and it is further used in this project. …”
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    Final Year Project
  13. 13

    Integrating genetic algorithms and fuzzy c-means for anomaly detection by Chimphlee, Witcha, Abdullah, Abdul Hanan, Sap, Noor Md., Chimphlee, Siriporn, Srinoy, Surat

    Published 2005
    “…Clustering-based intrusion detection algorithm which trains on unlabeled data in order to detect new intrusions. …”
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    Conference or Workshop Item
  14. 14

    Improved intrusion detection algorithm based on TLBO and GA algorithms by Aljanabi, Mohammad, Mohd Arfian, Ismail

    Published 2021
    “…The proposed method combined the New Teaching-Learning-Based Optimization Algorithm (NTLBO), Support Vector Machine (SVM), Extreme Learning Machine (ELM), and Logistic Regression (LR) (feature selection and weighting) NTLBO algorithm with supervised machine learning techniques for Feature Subset Selection (FSS). …”
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    Article
  15. 15

    Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali by Mohd Ali, Nurul Amira

    Published 2020
    “…Artificial Bee Colony algorithm has been selected as the algorithm used in segmenting the brain tumor from MRI image. …”
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    Thesis
  16. 16

    Minimization of Test Cases and Fault Detection Effectiveness Improvement through Modified Reduction with Selective Redundancy Algorithm by Nikfal, Shima

    Published 2007
    “…To achieve such goal, this research modifies and improves the Reduction with Selective Redundancy (RSR) algorithm. In the modify algorithm, test cases would be selected according to the branch coverage if they covered different branch combination. …”
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    Thesis
  17. 17

    Rao-SVM machine learning algorithm for intrusion detection system by Abd, Shamis N., Alsajri, Mohammad, Ibraheem, Hind Raad

    Published 2020
    “…Being that feature subset selection is considered a multi-objective optimization problem, this study proposed the Rao-SVM as an FSS mechanism; its algorithm-specific and parameter-less concept was also explored. …”
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    Article
  18. 18

    Comparison of malware detection model using supervised machine learning algorithms / Syamir Mohd Shahirudin by Mohd Shahirudin, Syamir

    Published 2022
    “…The objective of this project is to develop the Windows malware detection model using supervised machine learning in Decision Tree, K-NN and Naïve Bayes, to evaluate the performance of malware detection in term of testing and training of the features selection and to compare the accuracy detection model in all three machine learning algorithms. …”
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    Student Project
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    Automated threshold detection for object segmentation in colour image by Akhtaruzzaman, Md., Shafie, Amir Akramin, Khan, Md. Raisuddin

    Published 2016
    “…The procedure starts with selection of optimal RGB channel. Then H(•) algorithm is applied for automated threshold detection to convert the image frames into grayscale image. …”
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    Article
  20. 20

    Spatial domain image steganography based on right most digit replacement and parity bit differencing / Mehdi Hussain by Mehdi , Hussain

    Published 2017
    “…There has been noteworthy research on image based steganography techniques to overcome the various challenges i.e. lower embedding capacity, imperceptibility, embedding efficiency and robustness against steganalysis detection attacks. However, most of the existing embedding algorithms are incapable of overcoming the adverse effects of the challenges simultaneously. …”
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    Thesis