DARPA asks Stealth Software to help advance trusted computing and cryptography using zero-knowledge proofs

May 14, 2020
Stealth Software joins Galois Inc. in Portland, Ore., on the SIEVE program; Galois won a $12.6 million contract on 17 April 2020.

ARLINGTON, Va. – Trusted-computing experts at Stealth Software Technologies Inc. in Los Angeles are helping U.S. military researchers enhance information security and trusted computing by advancing zero-knowledge proof technology to enable cryptography in complex military applications.

Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., announced an $8.5 million contract to Stealth Software late last month for the first phase of a research project under the Securing Information for Encrypted Verification and Evaluation (SIEVE) program.

SIEVE seeks advance the state of the art in zero-knowledge proofs to enable complex military applications. A zero-knowledge proof in cryptography enables one party to prove that he knows a particular without conveying any secret information; the challenge is proving possession of sensitive information without revealing the information itself.

Stealth Software joins Galois Inc. in Portland, Ore., on the SIEVE program; Galois won a $12.6 million contract on 17 April 2020.

Related: Trusted computing and the challenges of cryptographic algorithms in quantum computing

SIEVE will use zero knowledge proofs to verify military capabilities without revealing the sensitive details. The project also will focus on increasing the efficiency of zero knowledge proof technology to enable large, complex proof statements -- such as billions of gates or more -- where the statement consists of probabilistic and indeterminate-branching conditions.

Zero-sum proofs typically are used to day for cryptocurrency transactions. This technology, however, is insufficient for complex proof statements in which any superlinear complexity could create an insurmountable efficiency bottleneck.

SIEVE focuses on zero-knowledge proofs for statements about cybersecurity and cyberspace operations, which historically have been difficult for the U.S. military to discuss in a verifiable way without releasing sensitive information.

SIEVE will demonstrate the feasibility of encoding complex military statements into intermediate representations that can help create efficient zero-knowledge proofs for those statements.

Related: Cryptography in trusted computing: an introduction to secure hashing

The SIEVE program is organized into three phases -- an 18-month first phase, an 18-month second phase, and a 12-months third phase.

The first phase emphasizes ways to demonstrate feasibility of encoding military statements into intermediate representations, and for giving efficient zero-knowledge proofs in military scenarios. The second phase emphasizes an integrated pipeline to create zero-knowledge proofs from intermediate-representation-encoded statements. The third phase emphasizes optimization and scaling techniques.

The program is divided into three technical areas: constructing useful zero-knowledge statements; building efficient zero-knowledge proof generation compilers; and post-quantum zero knowledge.

Constructing useful zero-knowledge statements focuses on generating encodings of real-world military problem statements into an intermediate representation to generate an efficient zero-knowledge proof.

Related: Trusted computing can depend on asymmetric cryptography algorithms to assure the integrity of protected data

Building efficient zero-knowledge proof generation compilers focuses on generating new theory and software to generate efficient zero-knowledge proofs from an intermediate representation-encoded problem statement. DARPA officials say they expect to award several contracts for each technical area.

On this contract Stealth Software will do the work in Los Angeles; Evanston, Ill; College Station, Texas; Ann Arbor, Mich; Burlington, Vt.; and Rochester, N.Y., and should be finished by May 2024.

For more information contact Stealth Software Technologies online at www.stealthsoftwareinc.com, or DARPA at www.darpa.mil.

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