StealthDB swMATH ID: 44366 Software Authors: Alexey Gribov, Dhinakaran Vinayagamurthy, Sergey Gorbunov Description: StealthDB: a Scalable Encrypted Database with Full SQL Query Support. Encrypted database systems provide a great method for protecting sensitive data in untrusted infrastructures. These systems are built using either special-purpose cryptographic algorithms that support operations over encrypted data, or by leveraging trusted computing co-processors. Strong cryptographic algorithms (e.g., public-key encryptions, garbled circuits) usually result in high performance overheads, while weaker algorithms (e.g., order-preserving encryption) result in large leakage profiles. On the other hand, some encrypted database systems (e.g., Cipherbase, TrustedDB) leverage non-standard trusted computing devices, and are designed to work around the architectural limitations of the specific devices used. In this work we build StealthDB - an encrypted database system from Intel SGX. Our system can run on any newer generation Intel CPU. StealthDB has a very small trusted computing base, scales to large transactional workloads, requires minor DBMS changes, and provides a relatively strong security guarantees at steady state and during query execution. Our prototype on top of Postgres supports the full TPC-C benchmark with a 30 Homepage: https://arxiv.org/abs/1711.02279 Source Code: https://github.com/cryptograph/stealthdb Keywords: Encrypted databases; Intel SGX Related Software: CryptDB; NuFHE; RethinkDB; ZeroDB; SGX; Azure Cited in: 2 Documents all top 5 Cited by 7 Authors 1 Chatterjee, Ayantika 1 Lai, Shangqi 1 Liu, Joseph K. K. 1 Nepal, Surya 1 Parbat, Tanusree 1 Vo, Viet 1 Yuan, Xingliang Cited in 0 Serials Cited in 2 Fields 2 Computer science (68-XX) 2 Information and communication theory, circuits (94-XX) Citations by Year