Latest research in Mobile Cloud Forensic Process Models focuses on developing structured frameworks that integrate mobile device and cloud service investigations to enhance accuracy, efficiency, and legal compliance. Studies highlight models such as the Mobile Cloud Forensic Readiness Process Model, which prepares applications for investigations by identifying critical factors and ensuring data availability, and the Enhanced Forensic Process for Improving Mobile Cloud Traceability, which incorporates time synchronization and inter-application analysis to reconstruct chronological event timelines. Other contributions include comprehensive frameworks like the Mobile Forensics Investigation Process Framework (MFIPF), which guides forensic teams through all stages of evidence collection and analysis while facilitating knowledge reuse. Overall, these models address challenges such as data synchronization, multi-tenancy, and jurisdictional complexities, aiming to provide systematic, reliable, and legally sound methodologies for mobile cloud forensic investigations.