Virgil D. Gligor (Carnegie Mellon University), Maverick S. L. Woo (Carnegie Mellon University)

Root-of-Trust (RoT) establishment ensures either that the state of an untrusted system contains all and only content chosen by a trusted local verifier and the system code begins execution in that state, or that the verifier discovers the existence of unaccounted for content. This ensures program booting into system states that are free of persistent malware. An adversary can no longer retain undetected control of one's local system.

We establish RoT {em unconditionally}; i.e., without secrets, trusted hardware modules and instructions, or bounds on the adversary's computational power. The specification of a system's chipset and device controllers, and an external source of true random numbers, such as a commercially available quantum RNG, is all that is needed. Our system specifications are those of a concrete Word Random Access Machine (cWRAM) model -- the closest computation model to a real system with a large instruction set.

We define the requirements for RoT establishment and explain their differences from past attestation protocols. Then we introduce a RoT establishment protocol based on a new computation primitive with concrete (non-asymptotic) optimal space-time bounds in adversarial evaluation on the cWRAM. The new primitive is a randomized polynomial, which has $k$-independent uniform coefficients in a prime order field. Its collision properties are stronger than those of a $k$-independent (almost) universal hash function in cWRAM evaluations, and are sufficient to prove existence of malware-free states before RoT is established. Preliminary measurements show that randomized-polynomial performance is practical on commodity hardware even for very large $k$.

To prove the concrete optimality of randomized polynomials, we present a result of independent complexity interest: a Horner-rule program is uniquely optimal whenever the cWRAM execution space and time are simultaneously minimized.

View More Papers

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

Ginseng: Keeping Secrets in Registers When You Distrust the...

Min Hong Yun (Rice University), Lin Zhong (Rice University)

Read More

Private Continual Release of Real-Valued Data Streams

Victor Perrier (Data61, CSIRO and ISAE-SUPAERO), Hassan Jameel Asghar (Macquarie University and Data61, CSIRO), Dali Kaafar (Macquarie University and Data61, CSIRO)

Read More

IoTGuard: Dynamic Enforcement of Security and Safety Policy in...

Z. Berkay Celik (Penn State University), Gang Tan (Penn State University), Patrick McDaniel (Penn State University)

Read More