This research project delves into the critical intersection of digital forensics and cloud computing, aiming to develop an extensible process model for handling digital evidence effectively. The study begins by establishing the importance of cloud computing in modern digital forensics, outlining the core principles that govern this domain, including technical, legal, and organizational dimensions. The research explores existing models, such as 'Forensics as a Service,' and highlights their architectural requirements, including Orchestrators, forensic processes, and communication interfaces. The methodology involves a multi-step approach, starting with problem selection and extensive literature reviews from peer-reviewed journals, followed by both qualitative and quantitative data analysis. The project also incorporates primary data collection through surveys, hypothesis testing, and data interpretation to refine the proposed model. The ultimate goal is to provide recommendations for ensuring privacy and security in cloud-based digital forensic investigations, contributing to the efficient combat of cybercrimes. The research underscores the importance of data storage redundancy and the need for specialized technological tools in cloud forensic investigations, offering insights into building a robust and adaptable process model for digital evidence management.
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