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  1. 1
    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
    “…For example,the spammer changes patterns of message for making spam such as writing the message by JavaScript, using different advertising images and words to form features or attributes. …”
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  2. 2
    A Detection Method for Text Steganalysis Using Evolution Algorithm (EA) Approach

    A Detection Method for Text Steganalysis Using Evolution Algorithm (EA) Approach by Puriwat, Lertkrai

    Published 2012
    “…The aim of this project was to detect a hidden message in an observed message using text steganalysis.…”
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  3. 3
    Text spam messages classification using Artificial Immune System (AIS) algorithms

    Text spam messages classification using Artificial Immune System (AIS) algorithms by Nurul Fadhilah Sulaiman

    Published 2024
    thesis::master thesis
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  4. 4
    A study on the performances of danger theory and negative selection algorithms for mobile spam detection

    A study on the performances of danger theory and negative selection algorithms for mobile spam detection by Sulaiman N.F., Jali M.Z., Abdullah Z.H., Ismail S.

    Published 2024
    journal::journal article
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  5. 5
    ChoCD : Usable and secure graphical password authentication scheme

    ChoCD : Usable and secure graphical password authentication scheme by Radhi Rafiee Bin Afandi

    Published 2024
    thesis::master thesis
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  6. 6
    Applying learning to filter text

    Applying learning to filter text by Sainin, Mohd Shamrie

    Published 2005
    “…Text filtering has been a successful application especially in e-mail filtering. The use of probabilistic approaches such as naïve Bayes algorithm is the effective algorithms currently known for learning to filter or classify text document.Naïve Bayes algorithm is one of the algorithms in Machine Learning that manipulates probability estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e -mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail, forum application may be misused by the user to send bad messages and in some extent may offence other readers.Forum filtering may be less important compared to e-mail spam filtering; however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the forum application found in the web is applying keyword based text filtering which scan the words and change the detected words into certain representation.Instead of defining a set of keywords to filter the forum messages, this paper will explains the experiment in applying a learning to filter text especially in the educational and anonymous forum message, where there is no user registration required to submit messages.…”
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  7. 7
    A new SMS spam detection method using both Content-Based and non Content-Based features

    A new SMS spam detection method using both Content-Based and non Content-Based features by Sulaiman N.F., Jali M.Z.

    Published 2024
    Conference Paper
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  8. 8
    Classification System for Heart Disease Using Bayesian Classifier

    Classification System for Heart Disease Using Bayesian Classifier by Magendram, Anusha

    Published 2007
    “…This system was developing base on to three main part which is data processing, testing and implementation of the algorithm. …”
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  9. 9
    Using streaming data algorithm for intrusion detection on the vehicular controller area network

    Using streaming data algorithm for intrusion detection on the vehicular controller area network by Sharmin, Shaila, Mansor, Hafizah, Abdul Kadir, Andi Fitriah, Abdul Aziz, Normaziah

    Published 2022
    “…This has prompted researchers to develop statistical and machine learning based intrusion detection systems for the CAN bus that use various features such as message timing and frequency to detect attacks. …”
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  10. 10
    Intrusion detection on the in-vehicle network using machine learning

    Intrusion detection on the in-vehicle network using machine learning by Sharmin, Shaila, Mansor, Hafizah

    Published 2021
    “…This paper presents an intrusion detection method based on the Isolation Forest (iForest) algorithm that detects message insertion attacks using message timing information. …”
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  11. 11
    Web-Application for securing message using Steganography with LSB Algorithm and Hybrid Encryption / Muhammad Khairul Amin Mohd Nai and Siti Rahayu Abdul Aziz

    Web-Application for securing message using Steganography with LSB Algorithm and Hybrid Encryption / Muhammad Khairul Amin Mohd Nai and Siti Rahayu Abdul Aziz by Mohd Nai, Muhammad Khairul Amin, Abdul Aziz, Siti Rahayu

    Published 2021
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  12. 12
    Web-Application for securing message using Steganography with LSB Algorithm and Hybrid Encryption / Muhammad Khairul Amin Mohd Nai and Siti Rahayu Abdul Aziz

    Web-Application for securing message using Steganography with LSB Algorithm and Hybrid Encryption / Muhammad Khairul Amin Mohd Nai and Siti Rahayu Abdul Aziz by Mohd Nai, Muhammad Khairul Amin, Abdul Aziz, Siti Rahayu

    Published 2021
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  13. 13
    Steganalysis: Detecting Existence of File Types Embedded in Grey Scale Image

    Steganalysis: Detecting Existence of File Types Embedded in Grey Scale Image by Amirulikhsan, Zolkafli

    Published 2008
    “…Estimating some parameters of embedding algorithm is the approach that the study used since secret message is one of its essential parameters. …”
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  14. 14
    Unified framework for spam detection and risk assessment in short message communication media / Adewole Kayode Sakariyah

    Unified framework for spam detection and risk assessment in short message communication media / Adewole Kayode Sakariyah by Adewole Kayode, Sakariyah

    Published 2018
    “…There are hundreds of published works related to spam message and spam account detection that aim to identify effective detection methods. …”
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  15. 15
    Novel approach for IP-PBX denial of service intrusion detection using support vector machine algorithm

    Novel approach for IP-PBX denial of service intrusion detection using support vector machine algorithm by Jama, Abdirisaq M., Khalifa, Othman Omran, Subramaniam, Nantha Kumar

    Published 2021
    “…For CICIDS dataset, SVM algorithm achieved highest detection rate of 76.47% while decision tree and Naïve Bayes has 63.71% & 41.58% of detection rate, respectively. …”
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  16. 16
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    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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  17. 17
    Experimental analysis on the anti spam effectiveness - commercial, Bayesian and Ngram algortihm / Ahmad Kamal Ramli

    Experimental analysis on the anti spam effectiveness - commercial, Bayesian and Ngram algortihm / Ahmad Kamal Ramli by Ramli, Ahmad Kamal

    Published 2008
    “…By using standard series of text messages which consists of spam and ham words, N-Gram algorithm performed very well. …”
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  18. 18
    Analysing machine learning models to detect disaster events using social media

    Analysing machine learning models to detect disaster events using social media by Faris Azni Azlan, Mr.

    Published 2023
    text::Thesis
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  19. 19
    Phishing attack detection using machine learning method

    Phishing attack detection using machine learning method by Jupin, John Arthur

    Published 2019
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    Undergraduates Project Papers
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  20. 20
    SMSAD: a framework for spam message and spam account detection

    SMSAD: a framework for spam message and spam account detection by Adewole, Kayode Sakariyah, Anuar, Nor Badrul, Kamsin, Amirrudin, Sangaiah, Arun Kumar

    Published 2019
    “…Using evolutionary search algorithm, a compact model for spam account detection is proposed, which is incorporated in the machine learning phase of the unified framework. …”
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