Cloud-Based Framework for Performing Digital Forensic Investigations

Cloud computing has created paradigm transitions from traditional computing. Acquisition rates increase with benefits such as lower costs and better utilization of resources. However, these benefits are accompanied by some of the challenges of computer forensics practice. The complexity of the Cloud computing, its key features, and its implementation all present several challenges for computer forensic researchers. In this paper, two surveys have been conducted to collect Cloud computing/forensic recommendations. The impact assessment (survey 1) has been conducted to determine the nature and extent of the impact of Cloud computing on computer forensics. A total of 104 Cloud Computing-based or computer forensics-based responses have been collected. Based on the impact assessment results, a Cloud-based framework has been proposed to assist in the fight against global digital crime, especially those committed within the cloud environment, bringing it with the challenges of law enforcement and digital forensic professionals. The proposed framework contains a set of guidelines and a cloud-based forensics model. In addition, the proposed framework will assist in the investigation. It is thought that criminals use the complexity of the cloud to hide strong and obvious evidence away from investigators and thus avoid prosecution and sentencing. In addition, this study identifies limitations and research gaps in existing solutions. The framework has been then validated with an online survey (survey 2) focused on 20 cloud computing or computer forensics experts. The result of study 1 confirms the impact of cloud computing on computer forensics. Further, it indicates that environmental factors and structures such as distributed storage, high recruitment, and virtualization have posed various challenges to the digital forensics process. In addition, the result concludes that the proposed framework addresses many of the issues and challenges discussed at a particular level of efficiency and effectiveness.