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Cloud Storage Forensics

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TLDR
In this paper, the authors present the first evidence-based cloud forensic framework, which 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.
Abstract
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

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Citations
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Journal ArticleDOI

Impacts of increasing volume of digital forensic data

TL;DR: It is concluded that there remains a need for further research with a focus on real world applicability of a method or methods to address the digital forensic data volume challenge.
Journal ArticleDOI

A survey of information security incident handling in the cloud

TL;DR: A conceptual cloud incident handling model is proposed that brings together incident handling, digital forensic and the Capability Maturity Model for Services to more effectively handle incidents for organisations using the cloud.
Journal ArticleDOI

Cloud forensics

TL;DR: The issues in cloud computing are described using the phases of traditional digital forensics as the base and for each phase of the digital forensic process, a list of challenges and analysis of their possible solutions are included.
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Copy-move forgery detection

TL;DR: The common CMFD workflow of feature extraction and matching process using block or keypoint-based approaches is characterized, and the types of copied regions are categorized.
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CCA-secure ABE with outsourced decryption for fog computing

TL;DR: This work firstly proposes the CCA security model for ABE with outsourced decryption, and then presents a concrete CCA-secure ABE scheme with outsourcing decryption that is secure and practical for fog computing.
References
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ReportDOI

Guide to Integrating Forensic Techniques into Incident Response

TL;DR: The guide presents forensics from an IT view, not a law enforcement view, and provides advice regarding different data sources, including files, operating systems (OS), network traffic, and applications.
Journal ArticleDOI

Acquiring forensic evidence from infrastructure-as-a-service cloud computing: Exploring and evaluating tools, trust, and techniques

TL;DR: A model to show the layers of trust required in the cloud is created and for the first time an evaluation of popular forensic acquisition tools are provided, showing that they can successfully return volatile and non-volatile data from the cloud.
Journal ArticleDOI

An integrated conceptual digital forensic framework for cloud computing

TL;DR: An integrated (iterative) conceptual digital forensic framework is proposed, which emphasises the differences in the preservation of forensic data and the collection of cloud computing data for forensic purposes, and discusses cloud computing digital forensic issues.
Journal ArticleDOI

Google Drive: Forensic analysis of data remnants

TL;DR: A artefacts were identified that are likely to remain after the use of cloud storage, in the context of the experiments, on a computer hard drive and Apple iPhone3G, and the potential access point(s) for digital forensics examiners to secure evidence.
Journal ArticleDOI

Digital forensic investigation of cloud storage services

TL;DR: In this article, the authors proposed a new procedure for investigating and analyzing the artifacts of all accessible devices, such as Windows system, Mac system, iPhone, and Android smartphone, for forensic investigation of cloud storage services.
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