1.0CS/DS Student Portfolioshttps://portfolios.cs.earlham.eduCharles Bowen-Raynerhttps://portfolios.cs.earlham.edu/index.php/author/cdbowen21/rich600338<blockquote class="wp-embedded-content" data-secret="3nZMcLwBdL"><a href="https://portfolios.cs.earlham.edu/index.php/students/2024-2/cs488/charles-bowen-rayner/">Charles Bowen-Rayner</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://portfolios.cs.earlham.edu/index.php/students/2024-2/cs488/charles-bowen-rayner/embed/#?secret=3nZMcLwBdL" width="600" height="338" title="“Charles Bowen-Rayner” — CS/DS Student Portfolios" data-secret="3nZMcLwBdL" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript"> /* <![CDATA[ */ /*! This file is auto-generated */ !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); //# sourceURL=https://portfolios.cs.earlham.edu/wp-includes/js/wp-embed.min.js /* ]]> */ </script> Abstract Machine learning is gaining prominence for network monitoring, yet current tools are often complex to understand and use. This proposal attempts to address this by developing an algorithm for network anomaly detection using libpcap and the random forest algorithm. … Read Morehttps://portfolios.cs.earlham.edu/wp-content/uploads/2024/12/488-5-scaled.jpeg2560798