Ransomware Analysis

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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Үндсэн зохиолчид: Lanza, Claudia, Lahmadi, Abdelkader, François, Jérôme
Формат: Online
Хэл сонгох:англи
Хэвлэсэн: Taylor & Francis 2025
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Онлайн хандалт:https://library.oapen.org/handle/20.500.12657/100445
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author Lanza, Claudia
Lahmadi, Abdelkader
François, Jérôme
author_browse François, Jérôme
Lahmadi, Abdelkader
Lanza, Claudia
author_facet Lanza, Claudia
Lahmadi, Abdelkader
François, Jérôme
author_sort Lanza, Claudia
collection Directory of Open Access Books
description 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.
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publishDate 2025
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spelling doab-20.500.12854ir-1579932025-07-29T20:00:23Z Ransomware Analysis Lanza, Claudia Lahmadi, Abdelkader François, Jérôme ransomware;classification;prediction thema EDItEUR::U Computing and Information Technology::UR Computer security::URH Computer fraud and hacking thema EDItEUR::J Society and Social Sciences::JK Social services and welfare, criminology::JKV Crime and criminology::JKVC Causes and prevention of crime thema EDItEUR::U Computing and Information Technology::UR Computer security::URD Privacy and data protection thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBL Digital and information technologies: Legal aspects thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNS Hospitality and service industries thema EDItEUR::L Law::LA Jurisprudence and general issues::LAR Legal aspects of criminology 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. 2025-04-01T04:13:01Z 2025-04-01T04:13:01Z 2025-03-31T12:18:52Z 2024 book https://library.oapen.org/handle/20.500.12657/100445 9781040182956 9781032832104 9781003528999 https://directory.doabooks.org/handle/20.500.12854/157993 eng open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/100445/1/9781040182925.pdf https://library.oapen.org/bitstream/20.500.12657/100445/1/9781040182925.pdf https://library.oapen.org/bitstream/20.500.12657/100445/1/9781040182925.pdf https://library.oapen.org/bitstream/20.500.12657/100445/13/9781040182925.pdf https://library.oapen.org/bitstream/20.500.12657/100445/13/9781040182925.pdf Taylor & Francis CRC Press 10.1201/9781003528999 10.1201/9781003528999 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 Knowledge Unlatched b818ba9d-2dd9-4fd7-a364-7f305aef7ee9 9781040182956 9781032832104 9781003528999 Knowledge Unlatched (KU) CRC Press Applied Mathematics, Statistics and Computer Science 2025-2027 CRC Press 113 open access
spellingShingle ransomware;classification;prediction
thema EDItEUR::U Computing and Information Technology::UR Computer security::URH Computer fraud and hacking
thema EDItEUR::J Society and Social Sciences::JK Social services and welfare, criminology::JKV Crime and criminology::JKVC Causes and prevention of crime
thema EDItEUR::U Computing and Information Technology::UR Computer security::URD Privacy and data protection
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBL Digital and information technologies: Legal aspects
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design
thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNS Hospitality and service industries
thema EDItEUR::L Law::LA Jurisprudence and general issues::LAR Legal aspects of criminology
Lanza, Claudia
Lahmadi, Abdelkader
François, Jérôme
Ransomware Analysis
title Ransomware Analysis
title_full Ransomware Analysis
title_fullStr Ransomware Analysis
title_full_unstemmed Ransomware Analysis
title_short Ransomware Analysis
title_sort ransomware analysis
topic ransomware;classification;prediction
thema EDItEUR::U Computing and Information Technology::UR Computer security::URH Computer fraud and hacking
thema EDItEUR::J Society and Social Sciences::JK Social services and welfare, criminology::JKV Crime and criminology::JKVC Causes and prevention of crime
thema EDItEUR::U Computing and Information Technology::UR Computer security::URD Privacy and data protection
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBL Digital and information technologies: Legal aspects
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design
thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNS Hospitality and service industries
thema EDItEUR::L Law::LA Jurisprudence and general issues::LAR Legal aspects of criminology
topic_facet ransomware;classification;prediction
thema EDItEUR::U Computing and Information Technology::UR Computer security::URH Computer fraud and hacking
thema EDItEUR::J Society and Social Sciences::JK Social services and welfare, criminology::JKV Crime and criminology::JKVC Causes and prevention of crime
thema EDItEUR::U Computing and Information Technology::UR Computer security::URD Privacy and data protection
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBL Digital and information technologies: Legal aspects
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design
thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNS Hospitality and service industries
thema EDItEUR::L Law::LA Jurisprudence and general issues::LAR Legal aspects of criminology
url https://library.oapen.org/handle/20.500.12657/100445
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