{"version":"1.0","provider_name":"Behaviour-Centric Cybersecurity Center (BCCC)","provider_url":"https:\/\/www.yorku.ca\/research\/bccc","author_name":"ahabibil","author_url":"https:\/\/www.yorku.ca\/research\/bccc\/author\/ahabibil\/","title":"New Article Alert! - Behaviour-Centric Cybersecurity Center (BCCC)","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"u0jPXVMsmr\"><a href=\"https:\/\/www.yorku.ca\/research\/bccc\/2026\/04\/20\/new-article-alert-17\/\">New Article Alert!<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.yorku.ca\/research\/bccc\/2026\/04\/20\/new-article-alert-17\/embed\/#?secret=u0jPXVMsmr\" width=\"600\" height=\"338\" title=\"&#8220;New Article Alert!&#8221; &#8212; Behaviour-Centric Cybersecurity Center (BCCC)\" data-secret=\"u0jPXVMsmr\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\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:\/\/www.yorku.ca\/research\/bccc\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/www.yorku.ca\/research\/bccc\/wp-content\/uploads\/sites\/759\/2026\/04\/Untitled.png","thumbnail_width":945,"thumbnail_height":377,"description":"Unveiling intruders\u2019 behaviors: explainable AI-based profiling of malicious bot activities in IoT networks The rapid proliferation of Internet of Things (IoT) devices has improved connectivity but introduced new cybersecurity risks, particularly from botnets. Detecting and identifying malicious botnet activities is crucial for early attack mitigation, understanding attack patterns, and deploying effective countermeasures. However, state-of-the-art IoT [&hellip;]"}