2016/05/03 by Kapil Vaswani, Vaswani, Kapil, Ravi Ramamurthy +3
Computer Science · #Security and Verification in Computing #Cryptography and Data Security #Advanced Malware Detection Techniques
paper · pdf · doi:10.48550/arxiv.1605.01092
In encrypted databases, sensitive data is protected from an untrusted server by encrypting columns using partially homomorphic encryption schemes, and storing encryption keys in a trusted client. However, encrypting columns and protecting encryption keys does not ensure confidentiality - sensitive data can leak during query processing due to information flows through the trusted client. In this paper, we propose SecureSQL, an encrypted database that partitions query processing between an untrusted server and a trusted client while ensuring the absence of information flows. Our evaluation based on OLTP benchmarks suggests that SecureSQL can protect against explicit flows with low overheads (< 30%). However, protecting against implicit flows can be expensive because it precludes the use of key databases optimizations and introduces additional round trips between client and server.