SecureCloud: An Encrypted, Scalable Storage for Cloud Forensics
Maximilian Uphoff, Matthäus Wander, Torben Weis, Marian Waltereit · 2018
The amount of forensic data collected by governments is increasing rapidly. Public cloud providers could store this data for a lower price than government owned infrastructure ever could, but for privacy reasons such data must be encrypted before it is sent to a public cloud. In this paper we present our SecureCloud system which provides a secure, efficient and seamless way to store forensic data in cheap but untrusted cloud environments. The forensic tools, however, are still executed on premises of the government agency, because they need cleartext data. We analyze the performance of our system using Autopsy to show that the forensic tool runs only 19 percent slower when reading encrypted data from SecureCloud compared with reading the same data from a local file server.