Digital Forensics Framework for Cloud Computing

Digital provenance: Enabling secure data forensics in cloud computing

Secure provenance that records the ownership and process history of data objects is vital to the success of data forensics in cloud computing. In this paper, we propose a new secure provenance scheme based on group signature and attribute-based signature techniques. The proposed provenance scheme provides confidentiality on sensitive documents stored in a cloud, unforgeability of the provenance...

Scenario-Based Digital Forensics Challenges in Cloud Computing

The aim of digital forensics is to extract information to answer the 5Ws (Why, When, Where, What, and Who) from the data extracted from the evidence. In order to achieve this, most digital forensic processes assume absolute control of digital evidence. However, in a cloud environment forensic investigation, this is not always possible. Additionally, the unique characteristics of cloud computing...

Cloud Computing Implications to Digital Forensics a New Methodology Proposal

This paper deals with a novel approach to digital investigations, aimed at optimizing law enforcement’s tasks, concerning digital evidence acquisition, examination, analysis and reporting, and reducing investigation complexity and operational costs. In the face of Internet’s pervasiveness and massive market penetration of high-performing and low-cost handset devices, resulting in a worldwide di...

An integrated conceptual digital forensic framework for cloud computing

Increasing interest in and use of cloud computing services presents both opportunities for criminal exploitation and challenges for law enforcement agencies (LEAs). For example, it is becoming easier for criminals to store incriminating files in the cloud computing environment but it may be extremely difficult for LEAs to seize these files as the latter could potentially be stored overseas. Two...

A Control Framework for Digital Forensics