ARCH_REVIEWOther
TEE-Based Evidence Security
Cloud-hosted cybercrime reporting systems increasingly depend on automated analytics to process sensitive digital evidence, creating new challenges for protecting data during computation. Traditional encryption safeguards information at rest and in transit but leaves evidence exposed while it is being processed. This research proposes a privacy-preserving architecture that leverages Confidential Computing and Trusted Execution Environments (TEEs) to secure digital evidence throughout the processing lifecycle. By integrating remote attestation, hardware-isolated execution, and secure key management, the proposed design enhances confidentiality, preserves forensic integrity, and strengthens trust in cloud-based digital evidence processing.