Signatures and Efficient Proofs on Committed Graphs and NP-Statements
Thomas Gross (School of Computing Science, Newcastle University, UK)
Digital signature schemes are a foundational building block enabling integrity and non-repudiation. We propose a graph signature scheme and corresponding proofs that allow a prover (1) to obtain a signature on a committed graph and (2) to subsequently prove to a verifier knowledge of such a graph signature. The graph signature scheme and proofs are a building block for certification systems that need to establish graph properties in zero-knowledge, as encountered in cloud security assurance or provenance. We extend the Camenisch-Lysyanskaya (CL) signature scheme to graphs and enable efficient zero-knowledge proofs of knowledge on graph signatures, notably supporting complex statements on graph elements. Our method is based on honest-verifier proofs and the strong RSA assumption. In addition, we explore the capabilities of graph signatures by establishing a proof system on graph 3-colorability (G3C). As G3C is NP-complete, we conclude that there exist Camenisch-Lysyanskaya proof systems for statements of NP languages.
10th International Conference on Financial Cryptography and Data Security 2015 (http://fc15.ifca.ai/)
Place and Date
Puerto Rico, January 26th-30th 2015
Thomas Gross. "Signatures and Efficient Proofs on Committed Graphs and NP-Statements", Financial Cryptography and Data Security 2015 - 19th International Conference, Puerto Rico, January 26-30, 2015.