[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-121246-en":3,"doc-seo-121246-105":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},121246,13056703019404,"Miles","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","A Cybersecurity Framework Using Machine Learning for Red Team Operators - Thesis","Online services expansion increases the likelihood of compromised personal data, creating a gap between well-supported blue-team defenses and under-supported red-team operations. This thesis introduces a real-time framework to help red team operators automate repetitive work, surface likely network vulnerabilities, and integrate machine learning for predicting probable attack paths. The work includes an evaluation of a Hidden Markov Model on a network and measures the framework’s overall performance.","A Cybersecurity Framework Using Machine Learning for Red Team Operators  \nby  \nAbhijeet Singh  \nA thesis submitted to the Faculty of Graduate and Postdoctoral Affairs in partial fulfilment of the requirements for the degree of  \nDegree  \nin  \nMaster of Information Technology: Digital Media Specialization in Data Science  \nCarleton University  \nOttawa, Ontario  \n© 2023  \nAbhijeet Singh  \nAbstract  \nAs the use of online services increases, so does the risk of compromised personal data. In response, organizations deploy blue and red teams to protect their networks from cyberattacks. While numerous solutions exist for supporting blue team efforts, there is a lack of equivalent support for red teams. This thesis proposes a real-time framework designed to assist red teams in their tasks, automating redundant tasks and suggesting potential network vulnerabilities. The framework also offers integration of machine learning algorithms for predicting probable attack paths. Moreover, we evaluate a Hidden Markov Model algorithm on a network and evaluate the performance of the framework.  \nAcknowledgements  \nI would first like to thank my thesis supervisor Dr. Richard Yu at Carleton University. His guidance, suggestions and advice helped me to accomplish this research.  \nI would also like to thank my GD Lab colleagues for their valuable insights and discussions.  \nFinally, I would express my gratitude to my parents and to my friends for providing me support and motivation throughout the program.  \nTable of Contents  \nList of Tables .............................................................................................................. vii  \nList of Figures ............................................................................................................ viii  \n1. Introduction ...............................................................................................................1  \n1.1. Background ............................................................................................................... 1  \n1.2. Research Problem ..................................................................................................... 3  \n1.3. Application Scenario................................................................................................. 4  \n1.4. Research Objective and Statement........................................................................... 6  \n1.5. Thesis Contribution................................................................................................... 6  \n1.6. Thesis Structure......................................................................................................... 7  \n2. Literature Review ......................................................................................................8  \n2.1. Cyber Security Fundamentals .................................................................................. 8  \n2.1.1. What is Cybersecurity?...............................................................................8  \n2.1.2. Types of Cybersecurity............................................................................. 10  \n2.1.3. Attack Framework .................................................................................... 14  \n2.1.4. Technologies ............................................................................................ 16  \n2.1.5. Key Challenges ........................................................................................ 19  \n2.2. Related Works ......................................................................................................... 20  \n2.3. Summary of Requirements ..................................................................................... 25  \n3. Framework for Red Team Operators .....................................................................26  \n3.1. High Level View of the Framework ...................................................................... 26  \n3.2. In-detail Discu","cbCaieaJoSqAyqqE","https://ap.wps.com/l/cbCaieaJoSqAyqqE","pdf",2405546,1,85,"English","en",105,"# List of Tables\n# List of Figures\n# 1. Introduction\n## 1.1 Background\n## 1.2 Research Problem\n## 1.3 Application Scenario\n## 1.4 Research Objective and Statement\n## 1.5 Thesis Contribution\n## 1.6 Thesis Structure\n# 2. Literature Review\n## 2.1 Cyber Security Fundamentals\n## 2.2 Related Works\n## 2.3 Summary of Requirements\n# 3. Framework for Red Team Operators\n## 3.1 High Level View of the Framework\n## 3.2 In-detail Discussion on Framework\n## 3.3 Competitive Advantage\n# 4. Framework Problem Formulation\n## 4.1 System Model\n## 4.2 Vulnerability Dataset Features Selection\n# 5. Experiment & Evaluation\n## 5.1 Scenario Description\n## 5.2 Experiment\n## 5.3 Result and Findings","[{\"question\":\"What problem does the thesis address for red team operators?\",\"answer\":\"It targets the lack of equivalent tooling support for red teams compared with blue teams, aiming to help operators conduct tasks more efficiently and identify likely vulnerabilities in real time.\"},{\"question\":\"What does the proposed framework do?\",\"answer\":\"The framework automates redundant red-team tasks, suggests potential network vulnerabilities, and integrates machine learning to predict probable attack paths.\"},{\"question\":\"How is the machine learning component evaluated?\",\"answer\":\"The thesis evaluates a Hidden Markov Model on a network and measures the framework’s performance based on the resulting results and findings.\"}]","A Cybersecurity Framework Using Machine Learning for Red Team Operators - Thesis | PDF",1785734583,214,{"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},"a-cybersecurity-framework-using-machine-learning-for-red-team-operators-thesis","",{"@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/a-cybersecurity-framework-using-machine-learning-for-red-team-operators-thesis/121246/",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","2026-08-03",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 problem does the thesis address for red team operators?","Question",{"text":75,"@type":76},"It targets the lack of equivalent tooling support for red teams compared with blue teams, aiming to help operators conduct tasks more efficiently and identify likely vulnerabilities in real time.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What does the proposed framework do?",{"text":80,"@type":76},"The framework automates redundant red-team tasks, suggests potential network vulnerabilities, and integrates machine learning to predict probable attack paths.",{"name":82,"@type":73,"acceptedAnswer":83},"How is the machine learning component evaluated?",{"text":84,"@type":76},"The thesis evaluates a Hidden Markov Model on a network and measures the framework’s performance based on the resulting results and findings.","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"]