Dynamic Behavioural Analysis of Privacy-Breaching and Data Theft Ransomware

Dynamic Behavioural Analysis of Privacy-Breaching and Data Theft Ransomware | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Dynamic Behavioural Analysis of Privacy-Breaching and Data Theft Ransomware Mehmet Ozturk, Ayse Demir, Zeynep Arslan, Omer Caliskan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4097219/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study presents a comprehensive analysis of privacy-breaching ransomware, emphasizing the dynamic behavioral patterns and techniques employed by these malicious entities to compromise data privacy. Employing a systematic methodology that includes the collection of diverse ransomware samples, establishment of a secure analysis environment, and execution of a dynamic behavioral analysis procedure, we have delineated the sophisticated tactics that characterize modern ransomware operations. Our findings reveal a significant shift in ransomware strategies, with an increasing focus on data theft over mere financial extortion, highlighting the evolving landscape of cyber threats. The analysis underscores the necessity for advanced cybersecurity measures that incorporate machine learning and behavioral analysis to proactively detect and mitigate these threats. Furthermore, the study identifies key areas for future research, including the development of adaptive security systems and the importance of international collaboration in cybersecurity efforts. This research contributes valuable insights into the behavior of privacy-breaching ransomware, offering a foundation for future advancements in the field of dynamic ransomware analysis and cybersecurity defense strategies. Computer Architecture and Engineering Privacy-Breaching Ransomware Dynamic Behavioral Analysis Cybersecurity Data Exfiltration Techniques Machine Learning in Cyber Defense International Cybersecurity Collaboration Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4097219","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":279423369,"identity":"d77df96f-e1b4-462d-a6ec-abb83efce084","order_by":0,"name":"Mehmet Ozturk","email":"data:image/png;base64,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","orcid":"https://orcid.org/0009-0000-0218-6660","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Mehmet","middleName":"","lastName":"Ozturk","suffix":""},{"id":279423370,"identity":"50d96e4c-980c-43e5-8507-3e1eb106e861","order_by":1,"name":"Ayse Demir","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Ayse","middleName":"","lastName":"Demir","suffix":""},{"id":279423371,"identity":"ab42942b-3070-4f21-833d-80124ecc93b7","order_by":2,"name":"Zeynep Arslan","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Zeynep","middleName":"","lastName":"Arslan","suffix":""},{"id":279423372,"identity":"3c5e4ca0-83e8-4e58-95dc-4334c3406f68","order_by":3,"name":"Omer Caliskan","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Omer","middleName":"","lastName":"Caliskan","suffix":""}],"badges":[],"createdAt":"2024-03-14 04:43:39","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-4097219/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4097219/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":52783294,"identity":"9858cfa7-a8fd-421c-ab71-f1ed60bc76f1","added_by":"auto","created_at":"2024-03-15 17:48:53","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":186911,"visible":true,"origin":"","legend":"","description":"","filename":"submission.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4097219/v1_covered_fd3f6660-672e-4394-b8c8-e494c4eb399a.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eDynamic Behavioural Analysis of Privacy-Breaching and Data Theft Ransomware\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Privacy-Breaching Ransomware, Dynamic Behavioral Analysis, Cybersecurity, Data Exfiltration Techniques, Machine Learning in Cyber Defense, International Cybersecurity Collaboration","lastPublishedDoi":"10.21203/rs.3.rs-4097219/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4097219/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study presents a comprehensive analysis of privacy-breaching ransomware, emphasizing the dynamic behavioral patterns and techniques employed by these malicious entities to compromise data privacy. 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