Ransomware Analysis : Knowledge Extraction and Classification for Advanced Cyber Threat Intelligence
This book presents the development of a classification scheme to organize and represent ransomware threat knowledge through the implementation of an innovative methodology centered around the semantic annotation of domain-specific source documentation. By combining principles from computer science,...
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| Formato: | Libro |
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CRC Press
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3952429&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 3952429 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Ransomware Analysis : Knowledge Extraction and Classification for Advanced Cyber Threat Intelligence aug: au: Claudia Lanza Abdelkader Lahmadi Jérôme François isbn: 9781032832104 9781032867502 9781003528999 9781040182925 9781040182956 imageinfo: pubinfo: dt: @attributes: year: 2025 month: 01 day: 01 dtAvail: @attributes: year: 2024 month: 11 day: 01 ed: First edition pub: CRC Press pubContract: CRC Press (Unlimited) place: Boca Raton price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: -1 pda: N printPagesOffline: 60 printPagesOnline: 60 previewPages: 10000 prePubGroup: dewey: @attributes: class: 005.88 item: 005 .88 lc: @attributes: class: QA76.76.C68 item: QA 76 .76 .C68 artinfo: ui: 3952429 1456984190 formats: fmt: – @attributes: type: EB doid: NL$3952429$PDF caption: PDF download: Y – @attributes: type: EK doid: NL$3952429$EPUB caption: EPUB download: Y tig: atl: Ransomware Analysis : Knowledge Extraction and Classification for Advanced Cyber Threat Intelligence ptl: Ransomware Analysis aug: au: Claudia Lanza Abdelkader Lahmadi Jérôme François su: Computer security Computer crimes Ransomware (Computer software) Internet--Security measures Malware (Computer software) Semantic computing sug: subj: COMPUTERS / Security / General ARCHITECTURE / Security Design COMPUTERS / Security / Viruses & Malware COMPUTERS / Security / Network Security COMPUTERS / Internet / Online Safety & Privacy COMPUTERS / Security / Cryptography & Encryption Computer security Computer crimes Ransomware (Computer software) Internet--Security measures Malware (Computer software) Semantic computing ab: This book presents the development of a classification scheme to organize and represent ransomware threat knowledge through the implementation of an innovative methodology centered around the semantic annotation of domain-specific source documentation. By combining principles from computer science, document management, and semantic data processing, the research establishes an innovative framework to organize ransomware data extracted from specialized source texts in a systematic classification system.Through detailed chapters, the book explores the process of applying semantic annotation to a specialized corpus comprising CVE prose descriptions linked to known ransomware threats. This approach not only organizes but also deeply analyzes these descriptions, uncovering patterns and vulnerabilities within ransomware operations. The book presents a pioneering methodology that integrates CVE descriptions with ATT&CK frameworks, significantly refining the granularity of threat intelligence.The insights gained from a pattern-based analysis of vulnerability-related documentation are structured into a hierarchical model within an ontology framework, enhancing the capability for predictive operations. This model prepares cybersecurity professionals to anticipate and mitigate risks associated with new vulnerabilities as they are cataloged in the CVE list, by identifying recurrent characteristics tied to specific ransomware and related vulnerabilities.With real-world examples, this book empowers its readers to implement these methodologies in their environments, leading to improved prediction and prevention strategies in the face of growing ransomware challenges.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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