IoT forensics is an evolving field that deals with the collection, preservation, and analysis of digital evidence from interconnected smart devices, sensors, and networks. Research in this area focuses on designing effective forensic frameworks to handle the distributed, heterogeneous, and resource-constrained nature of IoT environments. Key topics include data acquisition and preservation from IoT nodes, secure evidence chain of custody, forensic analysis in cloud-assisted IoT, and lightweight encryption for forensic data integrity. Other emerging areas involve the use of blockchain for tamper-proof evidence management, AI-driven anomaly detection for forensic investigation, privacy-preserving forensic data sharing, and edge-based forensic intelligence. Additionally, developing standardized forensic procedures, intrusion detection for IoT ecosystems, and cross-layer forensic correlation across IoT, edge, and cloud infrastructures are gaining significant research attention.