Acknowledgementable development that uses digital forensics protects against cyber crimeis cloud forensics. The dependability of digital evidence is reduced by centralized evidence collection. The fast-evolving Intrusion detection technologies for IaaS cloud are proposed in this study as a novel digital forensic architecture to address this serious issue. In the forensic architecture that is being proposed, the evidence is gathered and stored in an intrusion detection that is shared among many peers. By employing the SHA 3- Harmony Search Optimization algorithm secret keys are generated in a way that strengthens the resource territory. The cloud server, all Based on, data are encrypted their level of awareness. According to a thorough examination, the suggested forensic architecture exhibits promising performance when it comes to reply, insertion, and verification processes., communication overhead to address these challenges, we propose a comprehensive Forensics Logging Framework that incorporates an algorithm for efficient log collection, storage, and analysis. This framework aims to enhance the capabilities of digital forensic investigators in identifying and reconstructing events, tracing user actions, and establishing the CoC and PoO for log data.