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

Don't Trust The Locals: Investigating the Prevalence of Persistent...

Marius Steffens (CISPA Helmholtz Center for Information Security), Christian Rossow (CISPA Helmholtz Center for Information Security), Martin Johns (TU Braunschweig), Ben Stock (CISPA Helmholtz Center for Information Security)

Read More

Neuro-Symbolic Execution: Augmenting Symbolic Execution with Neural Constraints

Shiqi Shen (National University of Singapore), Shweta Shinde (National University of Singapore), Soundarya Ramesh (National University of Singapore), Abhik Roychoudhury (National University of Singapore), Prateek Saxena (National University of Singapore)

Read More

Constructing an Adversary Solver for Equihash

Xiaofei Bai (School of Computer Science, Fudan University), Jian Gao (School of Computer Science, Fudan University), Chenglong Hu (School of Computer Science, Fudan University), Liang Zhang (School of Computer Science, Fudan University)

Read More

ICSREF: A Framework for Automated Reverse Engineering of Industrial...

Anastasis Keliris (NYU), Michail Maniatakos (NYU Abu Dhabi)

Read More