[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-122043-en":3,"doc-seo-122043-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},122043,8796095462418,"Noah","https://ap-avatar.wpscdn.com/avatar/80000253c1241d02b47?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778826106357471780",8,"Research & Report","Dark Web Traffic Detection Using Supervised Machine Learning","The report develops a supervised machine learning approach for detecting traffic associated with the dark web, grounded in a structured data pipeline and classical classification models. It introduces key concepts including virtual private networks, the Onion Router, and major machine learning paradigms, then specifies the CIC-Darknet2020 dataset and the preprocessing steps such as cleaning and transformation. After dataset splitting, multiple classifiers—including Random Forest, Naïve Bayes, Support Vector Machine, and Decision Tree J48—are used to evaluate traffic classification performance and support the proposed detection framework.","Dark Web Traffic Detection Using Supervised Machine Learning  \nBy  \nSahra Zangeneh Nezhad  \nA Report Submitted in Partial Fulfillment of the Requirements for the Degree of  \nMaster of Engineering  \nIn The Department of Electrical and Computer Engineering University of Victoria  \n© Sahra Zangeneh Nezhad, 2023  \nUniversity of Victoria  \nAll rights reserved. This thesis may not be reproduced in whole or in part, by photocopying or  \nother means, without the permission of the author.  \nSupervisory Committee  \nDr. Amirali Baniasadi, Supervisor  \n(Department of Electrical and Computer Engineering)  \nDr. Mihai Sima, Committee Member  \n(Department of Electrical and Computer Engineering)  \nContents  \nList of Figures: .............................................................................................................................................. 5  \nList of Tables ................................................................................................................................................ 6  \nAcronyms ...................................................................................................................................................... 7  \nAcknowledgment .......................................................................................................................................... 9  \nDedication ................................................................................................................................................... 10  \nAbstract ....................................................................................................................................................... 11  \nChapter 1 ..................................................................................................................................................... 12  \nIntroduction ............................................................................................................................................. 12  \n1.1 Overview ....................................................................................................................................... 12  \n1.2 Motivation ..................................................................................................................................... 14  \n1.3 Related work ................................................................................................................................. 14  \n1.4 Report outline................................................................................................................................ 15  \nChapter 2 ..................................................................................................................................................... 16  \n2 Background .......................................................................................................................................... 16  \n2.1 Virtual Private Network ................................................................................................................ 16  \n2.2 The Onion Router ......................................................................................................................... 17  \n2.3 Machine Learning ......................................................................................................................... 18  \n2.4 Machine Learning Algorithm Types ............................................................................................. 18  \n2.4.1 Supervised Learning .................................................................................................................. 19  \n2.4.2 Unsupervised Learning .............................................................................................................. 19  \n2.4.3 Semi-Supervised Learning ......................................................................................................... 19  \n2.4.4 Reinforcement Learning .....................","cbCaieXwge5c8H9u","https://ap.wps.com/l/cbCaieXwge5c8H9u","pdf",495098,1,36,"English","en",105,"# List of Figures\n# List of Tables\n# Acronyms\n# Acknowledgment\n# Dedication\n# Abstract\n# Chapter 1 - Introduction\n## Overview\n## Motivation\n## Related work\n## Report outline\n# Chapter 2 - Background\n## Virtual Private Network\n## The Onion Router\n## Machine Learning\n## Machine Learning Algorithm Types\n## WEKA\n# Chapter 3\n## CIC-Darknet2020 Dataset\n## Proposed Framework\n## Preprocessing\n## Data splitting\n## Machine Learning Classifiers","[{\"question\":\"What dataset is used for dark web traffic detection?\",\"answer\":\"The report uses the CIC-Darknet2020 dataset as the main data source for training and evaluation.\"},{\"question\":\"Which preprocessing steps are included before model training?\",\"answer\":\"It covers preprocessing tasks such as data cleaning and data transformation, followed by data splitting.\"},{\"question\":\"Which supervised machine learning classifiers are evaluated?\",\"answer\":\"The study evaluates Random Forest, Naïve Bayes, Support Vector Machine, and Decision Tree J48.\"}]","Dark Web Traffic Detection Using Supervised Machine Learning | PDF",1785808526,91,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"dark-web-traffic-detection-using-supervised-machine-learning","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/dark-web-traffic-detection-using-supervised-machine-learning/122043/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What dataset is used for dark web traffic detection?","Question",{"text":75,"@type":76},"The report uses the CIC-Darknet2020 dataset as the main data source for training and evaluation.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which preprocessing steps are included before model training?",{"text":80,"@type":76},"It covers preprocessing tasks such as data cleaning and data transformation, followed by data splitting.",{"name":82,"@type":73,"acceptedAnswer":83},"Which supervised machine learning classifiers are evaluated?",{"text":84,"@type":76},"The study evaluates Random Forest, Naïve Bayes, Support Vector Machine, and Decision Tree J48.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]