Research on Anti-Forensic Techniques in Cloud Computing focuses on methods used by malicious actors to evade detection, obscure evidence, or manipulate cloud logs to hinder forensic investigations. Modern studies explore mechanisms for detecting and countering these tactics, including AI-driven log analysis, ontology-based frameworks, and cloud-based malware detection platforms. Techniques such as data obfuscation, tampering, and evidence deletion are addressed using automated and systematic approaches to trace hidden footprints and ensure integrity in multi-tenant and distributed cloud environments. Overall, research in anti-forensics aims to enhance cloud forensic capabilities, improve detection of tampering attempts, and maintain the reliability and trustworthiness of digital investigations in complex cloud ecosystems.