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    Exploring Machine Learning Models : For IoT Network Intrusion Detection : A Literature Review and Comparative Analysis 

    Hagen, Jack; Strate, Ayden (2024-04)
    The Internet of Things (IoT) is a complex network of low-powered interconnected devices that communicate and exchange data over the internet. IoT devices are a popular target for cybercriminals because of the user data ...
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    PICARD: Phishing Intelligence Corpus for Artificial Intelligence Research and Defense : A Massive Approach to Informing Artificial Intelligence Phishing Defenses 

    Hagen, Jack; Stoltenburg, Jacob (2025-04)
    The emergence of generative artificial intelligence (AI) has facilitated the creation of targeted, mass-produced, and highly effective phishing messages with unprecedented ease. Unlike previous methods, attackers no longer ...
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    Exploring Machine Learning Models : For IoT Network Intrusion Detection : A Literature Review and Comparative Analysis 

    Hagen, Jack; Strate, Ayden (2025-04)
    The Internet of Things (IoT) encompasses a variety of systems and devices that enable data exchange across networks. With this interleaved connectivity comes an inherent vulnerability to attacks. Traditional intrusion ...

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    Author
    Hagen, Jack (3)
    Strate, Ayden (2)Stoltenburg, Jacob (1)Subject
    Department of Computer Science (3)
    Posters (3)Internet of things (2)Intrusion detection systems (Computer security) (2)Machine learning (2)Artificial intelligence (1)Digital humanities (1)Phishing (1)... View MoreDate Issued2025 (2)2024 (1)Has File(s)
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