Search Results - Ashawa, Moses

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  1. 1
    Enhanced Image-Based Malware Classification Using Transformer-Based Convolutional Neural Networks (CNNs)

    Enhanced Image-Based Malware Classification Using Transformer-Based Convolutional Neural Networks (CNNs) by Ashawa, Moses, Owoh, Nsikak, Hosseinzadeh, Salaheddin, Osamor, Jude

    Published in Electronics (Basel)
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  2. 2
    Explainable Machine Learning for LoRaWAN Link Budget Analysis and Modeling

    Explainable Machine Learning for LoRaWAN Link Budget Analysis and Modeling by Hosseinzadeh, Salaheddin, Ashawa, Moses, Owoh, Nsikak, Larijani, Hadi, Curtis, Krystyna

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  3. 3
    Design and Development Considerations of a Cyber Physical Testbed for Operational Technology Research and Education

    Design and Development Considerations of a Cyber Physical Testbed for Operational Technology Research and Education by Hosseinzadeh, Salaheddin, Voutos, Dionysios, Barrie, Darren, Owoh, Nsikak, Ashawa, Moses, Shahrabi, Alireza

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  4. 4
    An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing

    An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing by Owoh, Nsikak, Riley, Jackie, Ashawa, Moses, Hosseinzadeh, Salaheddin, Philip, Anand, Osamor, Jude

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  5. 5
    Retraction Note: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm

    Retraction Note: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm by Ashawa, Moses, Douglas, Oyakhire, Osamor, Jude, Jackie, Riley

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  6. 6
    Modeling Correlation between Android Permissions Based on Threat and Protection Level Using Exploratory Factor Plane Analysis

    Modeling Correlation between Android Permissions Based on Threat and Protection Level Using Exploratory Factor Plane Analysis by Ashawa, Moses, Morris, Sarah

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  7. 7
    Analysis of Mobile Malware: A Systematic Review of Evolution and Infection Strategies

    Analysis of Mobile Malware: A Systematic Review of Evolution and Infection Strategies by Ashawa, Moses, Morris, Sarah

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  8. 8
    Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach

    Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach by Khalid, Abdul Rehman, Owoh, Nsikak, Uthmani, Omair, Ashawa, Moses, Osamor, Jude, Adejoh, John

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  9. 9
    RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm

    RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm by Ashawa, Moses, Douglas, Oyakhire, Osamor, Jude, Jackie, Riley

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  10. 10
    Malware Detection Based on API Call Sequence Analysis: A Gated Recurrent Unit–Generative Adversarial Network Model Approach

    Malware Detection Based on API Call Sequence Analysis: A Gated Recurrent Unit–Generative Adversarial Network Model Approach by Owoh, Nsikak, Adejoh, John, Hosseinzadeh, Salaheddin, Ashawa, Moses, Osamor, Jude, Qureshi, Ayyaz

    Published in Future internet
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  11. 11
    Android Permission Classifier: a deep learning algorithmic framework based on protection and threat levels

    Android Permission Classifier: a deep learning algorithmic framework based on protection and threat levels by Ashawa, Moses, Morris, Sarah

    Published in Security and privacy
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  12. 12
    Examining artifacts generated by setting Facebook Messenger as a default SMS application on Android: Implication for personal data privacy

    Examining artifacts generated by setting Facebook Messenger as a default SMS application on Android: Implication for personal data privacy by Ntonja, Morris, Ashawa, Moses

    Published in Security and privacy
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  13. 13
    Design and Implementation of Linux based Workflow for Digital Forensics Investigation

    Design and Implementation of Linux based Workflow for Digital Forensics Investigation by Ashawa, Moses, Ntonja, Morris

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