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<oembed><version>1.0</version><provider_name>Next Generation Networks Lab</provider_name><provider_url>https://carleton.ca/ngn</provider_url><author_name>cuthemeedtr5</author_name><author_url>https://carleton.ca/ngn/author/cuthemeedtr5/</author_url><title>LLMs&#x2019; Suitability for Network Security: A Case Study of STRIDE Threat Modeling - Next Generation Networks Lab</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="11xgVEf7W6"&gt;&lt;a href="https://carleton.ca/ngn/2025/llm-stride/"&gt;LLMs&#x2019; Suitability for Network Security: A Case Study of STRIDE Threat Modeling&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://carleton.ca/ngn/2025/llm-stride/embed/#?secret=11xgVEf7W6" width="600" height="338" title="&#x201C;LLMs&#x2019; Suitability for Network Security: A Case Study of STRIDE Threat Modeling&#x201D; &#x2014; Next Generation Networks Lab" data-secret="11xgVEf7W6" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Project Description Artificial Intelligence (AI) is expected to be an integral part of next-generation AI-native 6G networks. With the prevalence of AI, researchers have identified numerous use cases of AI in network security. However, there are almost nonexistent studies that analyze the suitability of Large Language Models (LLMs) in network security. In this project, we [&hellip;]</description><thumbnail_url>https://arxiv.org/html/2505.04101v1/x1.png</thumbnail_url></oembed>
