Cloud storage forensics focuses on the investigation, acquisition, and analysis of data stored in cloud environments to ensure evidence integrity, authenticity, and legal admissibility. Research in this area emphasizes developing methodologies and tools for efficiently handling distributed, virtualized, and multi-tenant storage systems. Key topics include secure evidence acquisition from cloud storage services, detection and recovery of deleted or tampered files, and metadata analysis for activity reconstruction. Other significant areas involve blockchain-based integrity verification, automated forensic frameworks for diverse storage platforms, and cross-cloud evidence correlation. Emerging research directions explore privacy-preserving forensic techniques, AI-assisted data analysis for anomaly and intrusion detection, and standardized procedures for legal compliance in cloud storage investigations. Additionally, challenges such as handling encrypted data, large-scale evidence processing, and maintaining chain-of-custody across dynamic cloud infrastructures remain critical in advancing cloud storage forensic research.