Research in cybercrime forensics focuses on developing intelligent, automated, and privacy-aware techniques to investigate digital crimes in complex environments such as cloud computing, social media, IoT, and dark web platforms. Modern studies emphasize the integration of artificial intelligence and machine learning to detect, preserve, and analyze digital evidence efficiently while ensuring chain-of-custody and data integrity. Researchers are also addressing challenges related to data encryption, jurisdictional issues, and admissibility of digital evidence in court. Emerging trends include blockchain-based evidence management, AI-driven forensic automation, and the use of big data analytics to identify cybercriminal patterns. Additionally, growing attention is given to ethical, legal, and privacy concerns in digital investigations, ensuring that forensic processes remain transparent, accountable, and compliant with global cyber laws.