Jiyong Yu (UIUC), Lucas Hsiung (UIUC), Mohamad El'Hajj (UIUC), Christopher W. Fletcher (UIUC)

Blocking microarchitectural (digital) side channels is one of the most pressing challenges in hardware security today. Recently, there has been a surge of effort that attempts to block these leakages by writing programs data obliviously. In this model, programs are written to avoid placing sensitive data-dependent pressure on shared resources. Despite recent efforts, however, running data oblivious programs on modern machines today is insecure and low performance. First, writing programs obliviously assumes certain instructions in today's ISAs will not leak privacy, whereas today's ISAs and hardware provide no such guarantees. Second, writing programs to avoid data-dependent behavior is inherently high performance overhead.

This paper tackles both the security and performance aspects of this problem by proposing a Data Oblivious ISA extension (OISA). On the security side, we present ISA design principles to block microarchitectural side channels, and embody these ideas in a concrete ISA capable of safely executing existing data oblivious programs. On the performance side, we design the OISA with support for efficient memory oblivious computation, and with safety features that allow modern hardware optimizations, e.g., out-of-order speculative execution, to remain enabled in the common case.

We provide a complete hardware prototype of our ideas, built on top of the RISC-V out-of-order, speculative BOOM processor, and prove that the OISA can provide the advertised security through a formal analysis of an abstract BOOM-style machine. We evaluate area overhead of hardware mechanisms needed to support our prototype, and provide performance experiments showing how the OISA speeds up a variety of existing data oblivious codes (including ``constant time'' cryptography and memory oblivious data structures), in addition to improving their security and portability.

View More Papers

rORAM: Efficient Range ORAM with O(log2 N) Locality

Anrin Chakraborti (Stony Brook University), Adam J. Aviv (United States Naval Academy), Seung Geol Choi (United States Naval Academy), Travis Mayberry (United States Naval Academy), Daniel S. Roche (United States Naval Academy), Radu Sion (Stony Brook University)

Read More

MBeacon: Privacy-Preserving Beacons for DNA Methylation Data

Inken Hagestedt (CISPA Helmholtz Center for Information Security), Yang Zhang (CISPA Helmholtz Center for Information Security), Mathias Humbert (Swiss Data Science Center, ETH Zurich/EPFL), Pascal Berrang (CISPA Helmholtz Center for Information Security), Haixu Tang (Indiana University Bloomington), XiaoFeng Wang (Indiana University Bloomington), Michael Backes (CISPA Helmholtz Center for Information Security)

Read More

REDQUEEN: Fuzzing with Input-to-State Correspondence

Cornelius Aschermann (Ruhr-Universität Bochum), Sergej Schumilo (Ruhr-Universität Bochum), Tim Blazytko (Ruhr-Universität Bochum), Robert Gawlik (Ruhr-Universität Bochum), Thorsten Holz (Ruhr-Universität Bochum)

Read More

Balancing Image Privacy and Usability with Thumbnail-Preserving Encryption

Kimia Tajik (Oregon State University), Akshith Gunasekaran (Oregon State University), Rhea Dutta (Cornell University), Brandon Ellis (Oregon State University), Rakesh B. Bobba (Oregon State University), Mike Rosulek (Oregon State University), Charles V. Wright (Portland State University), Wu-Chi Feng (Portland State University)

Read More