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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Hlavní autori:	Lanza, Claudia, Lahmadi, Abdelkader, François, Jérôme
Médium:	E-kniha Publikácia Kniha
Jazyk:	English
Vydavateľské údaje:	Boca Raton, FL CRC Press 2024 Taylor & Francis
Vydanie:	1
Predmet:	Causes and prevention of crime classification Cognitive science Computer architecture and logic design Computer fraud and hacking Computer networking and communications Computer Science Computer security Computing and Information Technology Crime and criminology Cryptography and Security Digital and information technologies: Legal aspects Economics, Finance, Business and Management Hospitality and service industries Industry and industrial studies Information technology: general topics Internet Jurisprudence and general issues Law Legal aspects of criminology Linguistics Malware (Computer software) prediction Privacy and data protection ransomware Semantic computing Social services and welfare, criminology Society and Social Sciences prediction classification ransomware
ISBN:	1032867507, 9781032867502, 9781032832104, 103283210X, 1003528996, 9781003528999, 104018295X, 9781040182956, 1040182925, 9781040182925
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Popis
Shrnutí:	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.
ISBN:	1032867507 9781032867502 9781032832104 103283210X 1003528996 9781003528999 104018295X 9781040182956 1040182925 9781040182925
DOI:	10.1201/9781003528999