Digital forensics threatscape and best practices
Digital Forensics: Threatscape and Best Practices surveys the problems and challenges confronting digital forensic professionals today, including massive data sets and ever changing technology. This book provides a coherent overview of the threatscape in a broad range of topics, providing practition...
Otros Autores: | , |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Waltham, Massachusetts :
Syngress
2016.
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Edición: | 1st edition |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629804806719 |
Tabla de Contenidos:
- Cover; Title Page; Copyright Page; Dedication; Contents; List of Contributors; Editor Biography; Biographies; Acknowledgments; Chapter 1 - The cryptocurrency enigma; Purpose; Introduction; What makes a currency?; Cryptocurrency; Public key encryption basics; Forensic relevance; Bitcoin; History and current context; Bitcoin framework; Blockchain; Wallets and addresses; Transaction; Verification; Mining; Blockchain explorers; Bitcoin protocol; Forensic artifacts; Multibit HD; Blockchain transaction details; Multibit log; The bitcoin protocol in action; Inv packet; Inv packet data
- Getdata packet Getdata packet data; TX packet; TX packet data; Summary; References; Chapter 2 - The key to forensic success: examination planning is a key determinant of efficient and effective digital forensics; Introduction; The four phases of digital forensics; It is a matter of questions; Investigative questions; Legal questions; Forensic questions; Identification; Classification/individualization; Association; Reconstruction; Forensic questions as a bridge; Developing forensic hypotheses; Knowing how far to go; Starting the plan; How do you know when you are done?
- Examination phase - data extraction The forensic analysis; The examination planning process; Conclusion; Examination Planning References; Chapter 3 - Psychological profiling as an investigative tool for digital forensics; Current model; Issues; Volume of data; Lack of context; Accountability; New model; Phases; Classification; Context analysis; Collection; Statistical analysis; Timeline analysis/visualization; Decision/opinion; Limitations; Case studies; Case study 1 - shaken baby death; Case study 2 - arson homicide; Case study 3 - possession of child porn; Conclusions; References
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