{"version":"1.0","provider_name":"Next Generation Networks Lab","provider_url":"https:\/\/carleton.ca\/ngn","author_name":"cuthemeedtr5","author_url":"https:\/\/carleton.ca\/ngn\/author\/cuthemeedtr5\/","title":"LLMs\u2019 Suitability for Network Security: A Case Study of STRIDE Threat Modeling - Next Generation Networks Lab","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"unsALJvkyu\"><a href=\"https:\/\/carleton.ca\/ngn\/2025\/llm-stride\/\">LLMs\u2019 Suitability for Network Security: A Case Study of STRIDE Threat Modeling<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/carleton.ca\/ngn\/2025\/llm-stride\/embed\/#?secret=unsALJvkyu\" width=\"600\" height=\"338\" title=\"&#8220;LLMs\u2019 Suitability for Network Security: A Case Study of STRIDE Threat Modeling&#8221; &#8212; Next Generation Networks Lab\" data-secret=\"unsALJvkyu\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/carleton.ca\/ngn\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","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;]","thumbnail_url":"https:\/\/arxiv.org\/html\/2505.04101v1\/x1.png"}