Cryptocurrency Forensics and Investigation using Open Source Intelligence Techniques (OSINT) : Volume II
Book Details
Format
Paperback / Softback
ISBN-10
1041142471
ISBN-13
9781041142478
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 16th, 2026
Print length
416 Pages
Weight
820 grams
Dimensions
17.90 x 25.60 x 3.50 cms
Product Classification:
Coding theory & cryptologyCoding theory and cryptologyFinanceFinance and the finance industryMathematical logicApplied mathematicsElectrical engineeringElectronics engineeringDigital and information technologies: Legal aspectsLegal aspects of ITComputer securityComputer science
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Cryptocurrency Forensics and Investigation Using Open Source Tools and Techniques is a two-volume series that was written for such reason. It is intended to be a useful, hands-on resource for people who wish to learn about and research bitcoin activity using openly accessible tools.
The financial industry has been evolving more quickly than most of us have anticipated. As digital currencies gain popularity, both new opportunities and hazards are emerging. Cryptocurrencies are no longer a fringe idea; they are now a component of international investment, business, and, regrettably, criminal activity. Investigators and legal experts can help with that. Untangling intricate transactions, tracking digital footprints, and maintaining system integrity are all urgently needed. Cryptocurrency Forensics and Investigation Using Open Source Intelligence Techniques (OSINT) is a two-volume series that was written for such reason. It is intended to be a useful, hands-on resource for people who wish to learn about and research cryptocurrency forensics and investigation using openly accessible tools. The fundamentals are covered in Volume I, including the essential ideas, open-source resources, and fundamental techniques, how criminals operate in crypto space, working on privacy coins, and more you’ll need to get going. From there, Volume II delves into more complex methods such as tracking assets across many blockchains, identifying trends, and studying actual case studies.
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