Opaque: An Oblivious and Encrypted Distributed Analytics Platform
Raluca Ada Popa
Date: Wednesday, May 10, 2017
Time: 4:00 PM to 5:00 PM
Host: CSAIL Security Seminar
Contact: Frank Wang, email@example.com
Speaker URL: None
TALK: Opaque: An Oblivious and Encrypted Distributed Analytics Platform
Many systems run rich data analytics on sensitive data in the cloud, but are prone to data breaches. A recent hardware enclave architecture promises data confidentiality and isolated execution of arbitrary computations, yet still suffers from leakage due to memory and network accesses patterns. In this talk, I will describe Opaque, a distributed data analytics platform supporting a wide range of queries while protecting the data. Even a compromised operating system sees only encrypted data. Opaque also protects against leakage from memory and network accesses outside of the enclave (a property called obliviousness). To accomplish this goal, Opaque introduces new distributed oblivious relational operators, as well as new query planning techniques to optimize these new operators. Opaque is implemented on Spark SQL with few changes to the underlying system. Opaque provides data encryption, authentication, and computation verification with a performance ranging from 52% faster to 3.3x slower than vanilla Spark SQL; obliviousness comes with a 1.646x overhead. At the same time, Opaque provides an improvement of three orders of magnitude over state-of-the-art oblivious protocols.
Joint work with W. Zheng, A. Dave, J. G. Beekman, J. E. Gonzalez, and I. Stoica.
Raluca Ada Popa is an assistant professor of computer science at UC Berkeley working in computer security, systems, and applied cryptography. She is a co-director of the RISELab at UC Berkeley, as well as a co-founder and CTO of a cybersecurity startup called PreVeil. Raluca has received her PhD in computer science as well as her Masters and two BS degrees, in computer science and in mathematics, from MIT. She is the recipient of an Intel Early Career Faculty Honor award and a George M. Sprowls Award for best MIT CS doctoral thesis.
Created by Frank Wang at Monday, May 01, 2017 at 1:31 PM.