Cloud Storage Forensics

To reduce the risk of digital forensic evidence being called into question in judicial proceedings, it is important to have a rigorous methodology and set of procedures for conducting digital forensic investigations and examinations. Digital forensic investigation in the cloud computing environment, however, is in infancy due to the comparatively recent prevalence of cloud computing. Cloud Storage Forensics presents the first evidence-based cloud forensic framework. Using three popular cloud storage services and one private cloud storage service as case studies, the authors show you how their framework can be used to undertake research into the data remnants on both cloud storage servers and client devices when a user undertakes a variety of methods to store, upload, and access data in the cloud. By determining the data remnants on client devices, you gain a better understanding of the types of terrestrial artifacts that are likely to remain at the Identification stage of an investigation. Once it is determined that a cloud storage service account has potential evidence of relevance to an investigation, you can communicate this to legal liaison points within service providers to enable them to respond and secure evidence in a timely manner. Learn to use the methodology and tools from the first evidenced-based cloud forensic framework Case studies provide detailed tools for analysis of cloud storage devices using popular cloud storage services Includes coverage of the legal implications of cloud storage forensic investigations Discussion of the future evolution of cloud storage and its impact on digital forensics

To reduce the risk of digital forensic evidence being called into question in judicial proceedings, it is important to have a rigorous methodology and set of procedures for conducting digital forensic investigations and examinations. Digital forensic investigation in the cloud computing environment, however, is in infancy due to the comparatively recent prevalence of cloud computing.

Cloud Storage Forensics presents the first evidence-based cloud forensic framework. Using three popular cloud storage services and one private cloud storage service as case studies, the authors show you how their framework can be used to undertake research into the data remnants on both cloud storage servers and client devices when a user undertakes a variety of methods to store, upload, and access data in the cloud. By determining the data remnants on client devices, you gain a better understanding of the types of terrestrial artifacts that are likely to remain at the Identification stage of an investigation. Once it is determined that a cloud storage service account has potential evidence of relevance to an investigation, you can communicate this to legal liaison points within service providers to enable them to respond and secure evidence in a timely manner.

• Learn to use the methodology and tools from the first evidenced-based cloud forensic framework
• Case studies provide detailed tools for analysis of cloud storage devices using popular cloud storage services
• Includes coverage of the legal implications of cloud storage forensic investigations
• Discussion of the future evolution of cloud storage and its impact on digital forensics

Content: Front-matter , Pages i,iii Copyright , Page iv Dedication , Page v Acknowledgments , Page xiii About the Authors , Pages xv-xvi Forewords , Pages xvii-xviii Chapter 1 - Introduction , Pages 1-11 Chapter 2 - Cloud Storage Forensic Framework , Pages 13-21 Chapter 3 - Microsoft SkyDrive Cloud Storage Forensic Analysis , Pages 23-61 Chapter 4 - Dropbox Analysis: Data Remnants on User Machines , Pages 63-93 Chapter 5 - Google Drive: Forensic Analysis of Cloud Storage Data Remnants , Pages 95-126 Chapter 6 - Open Source Cloud Storage Forensics: ownCloud as a Case Study , Pages 127-152 Chapter 7 - Forensic Collection of Cloud Storage Data: Does the Act of Collection Result in Changes to the Data or its Metadata? , Pages 153-174 Chapter 8 - Conclusion and Future Work , Pages 175-178 Glossary , Pages 179-181 Index , Pages 183-189 This book presents the first evidence-based cloud forensic framework. Using three popular cloud storage services and one private cloud storage service as case studies, the authors demonstrate how their framework can be used to undertake research into the data remnants on both cloud storage servers and client devices when a user undertakes a variety of methods to store, upload, and access data in the cloud