[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-121477-en":3,"doc-seo-121477-105":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},121477,1374391974564,"Clementine","https://ap-avatar.wpscdn.com/avatar/14000253aa45c000a9e?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779874745381141002",8,"Research & Report","Detection of Attacks on Networks Using Machine Learning - Master’s Thesis","Network expansion increases security risks such as site blocks, data loss, and financial losses caused by cyberattacks. Modern infrastructures therefore require robust network security, and machine learning methods are increasingly used to identify malware. This thesis evaluates detection algorithms including k-nearest neighbors, logistic regression, and decision trees while addressing performance limitations reported in prior work. It emphasizes how adjustment parameters influence model metrics and aims to determine optimal parameter values for improved comparison across classifiers.","REPUBLIC OF TÜRKİYE ALTINBAŞ UNIVERSITY  \nInstitute of Graduate Studies  \nElectrical and Computer Engineering  \nDETECTION OF ATTACKS ON NETWORKS  \nUSING MACHINE LEARNING  \nSoumeya Bode YOUSSOUF  \nMaster’s Thesis  \nSupervisor  \nProf. Dr. Metin ZONTUL  \nİstanbul, 2023  \nDETECTION OF ATTACKS ON NETWORKS USING MACHINE  \nLEARNING  \nSoumeya Bode YOUSSOUF  \nElectrical And Computer Engineering  \nMaster’s Thesis  \nALTINBAŞ UNIVERSITY  \nThe thesis titled DETECTION OF ATTACKS ON NETWORKS USING MACHINE LEARNING prepared by SOUMEYA BODE YOUSSOUF and submitted on 28/08/2023 has been accepted unanimously for the degree of Master of Science in Electrical And Computer Engineering.  \nProf. Dr. Metin ZONTUL  \nSupervisor  \nThesis Defense Committee Members:  \nAssoc. Prof. Dr. Oğuz ATA Department of Software  \nEngineering  \nAltınbaş University    \nAsst. Prof. Dr. Mesut ÇEVİK Department of Electrical and  \nElectronics Engineering  \nAltınbaş University    \nProf. Dr. Metin ZONTUL Department of Computer  \nEngineering  \nSivas University of Science   and Technology  \nI hereby declare that this thesis meets all format and submission requirements for a Master’s Thesis  \nSubmission date of the thesis to Institute of Graduate Studies: / / .  \nI hereby declare that all data presented in this graduation project has been obtained in full accordance with academic rules and ethical conduct. I also declare all unoriginal materials and conclusions have been cited in the text and all references mentioned in the Reference List have been cited in the text, and vice versa as required by the abovementioned rules and conduct.  \nSoumeya Bode YOUSSOUF  \nSignature  \nACKNOWLEDGEMENTS  \nFirst and foremost, all praises and gratitude are dedicated to ALLAH, the Most Merciful and the Most Gracious for His showers of blessings, supplying me with the fortitude to persevere and the means to finish this thesis.  \nIt is vital to me to take this opportunity to thank my advisor, Prof. Dr. Metin Zontul, whose patient supervision, passionate support, and constructive criticism helped me during the entirety of the completion of this research work. In addition, I would want to express my gratitude to Prof. Dr. Mesut Cevik, who gave me important advice.  \nMy sincere appreciation also goes to the honorable members of the Jury for their presence,  \ntheir attentive reading of my thesis and for accepting its evaluation.  \nI would like to extend my deepest gratitude to my parents, to whom I dedicate this work,  \nfor their unwavering love and tremendous support, which keeps me motivated and  \nconfident.  \nI, finally, thank my family, friends and everyone who contributed in a direct or indirect  \nmanner to the realization of my thesis.  \nABSTRACT  \nDETECTION OF ATTACKS ON NETWORKS USING MACHINE  \nLEARNING  \nYOUSSOUF, Soumeya Bode  \nM. Sc., Electrical And Computer Engineering, Altınbaş University  \nSupervisor: Prof. Dr. Metin ZONTUL  \nDate: August /2023  \nPages: 90  \nAs the network has expanded to unprecedented proportions, we are conscious of the security risks it can cause. Site blocks, data loss, and financial losses are only some of the results of a cyberattack. Because of this, network security is becoming not only crucial but also an integral aspect of all modern computing infrastructures. However, in order to mitigate the dangers several studies have been carried out, one of which is the identification of malware using machine learning.  \nBy using features of machine learning, this work investigates algorithms for detection attacks like k-nearest neighbors, logistic regression, and decision trees. The results of previous studies indicate that we have already carried out malicious detection through machine learning classification; however, strengthened the performance of these classifieris still a topical issue. The main contribution of this study is to show us the impact of the adjustment parameters on the performance metric of the model, then this work will focus on determining the optimal ","cbCairQgY6FBfEs6","https://ap.wps.com/l/cbCairQgY6FBfEs6","pdf",2127094,1,95,"English","en",105,"# Abstract\n# Keywords\n# Table of Contents\n## List of Tables\n## List of Figures","[{\"question\":\"What problem does the thesis address?\",\"answer\":\"It addresses cyberattack risks that arise as networks grow, focusing on how to detect attacks and malware using machine learning.\"},{\"question\":\"Which machine learning algorithms are evaluated for attack detection?\",\"answer\":\"The study investigates k-nearest neighbors, logistic regression, and decision trees for classification-based detection.\"},{\"question\":\"How does the thesis improve detection performance?\",\"answer\":\"It studies how tuning parameters affect performance metrics, then selects optimal values to compare classifiers and strengthen results.\"}]","Detection of Attacks on Networks Using Machine Learning - Master’s Thesis | PDF",1785735829,239,{"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},"detection-of-attacks-on-networks-using-machine-learning-masters-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/detection-of-attacks-on-networks-using-machine-learning-masters-thesis/121477/",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?","Question",{"text":75,"@type":76},"It addresses cyberattack risks that arise as networks grow, focusing on how to detect attacks and malware using machine learning.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which machine learning algorithms are evaluated for attack detection?",{"text":80,"@type":76},"The study investigates k-nearest neighbors, logistic regression, and decision trees for classification-based detection.",{"name":82,"@type":73,"acceptedAnswer":83},"How does the thesis improve detection performance?",{"text":84,"@type":76},"It studies how tuning parameters affect performance metrics, then selects optimal values to compare classifiers and strengthen results.","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"]