Ensuring File Authenticity in Private DFA Evaluation on Encrypted Files in the Cloud

Abstract

Cloud storage, and more specifically the encryption of file contents to protect them in the cloud, can interfere with access to these files by partially trusted third-party service providers and customers. To support such access for pattern-matching applications (e.g., malware scanning), we present a protocol that enables a client authorized by the data owner to evaluate a deterministic finite automaton (DFA) on a file stored at a server (the cloud), even though the file is encrypted by the data owner for protection from the server. Our protocol contributes over previous work by enabling the client to detect any misbehavior of the server; in particular, the client can verify that the result of its DFA evaluation is based on the file stored there by the data owner, and in this sense the file and protocol result are authenticated to the client. Our protocol also protects the privacy of the file and the DFA from the server, and the privacy of the file (except the result of evaluating the DFA on it) from the client. A special case of our protocol solves private DFA evaluation on a private and authenticated file in the traditional two-party model, in which the file contents are known to the server. Our protocol provably achieves these properties for an arbitrarily malicious server and an honest-but-curious client, in the random oracle model.