Achieving Security Despite Compromise Using Zero-knowledge
Michael Backes, Martin P. Grochulla, Cătălin Hriţcu, Matteo Maffei
Abstract
Michael Backes, Martin P. Grochulla, Cătălin Hriţcu, Matteo Maffei
Abstract
One of the important challenges when designing and analyzing cryptographic protocols is the enforcement of security properties in the presence of compromised participants. This paper presents a general technique for strengthening cryptographic protocols in order to satisfy authorization policies despite participant compromise. The central idea is to automatically transform the original cryptographic protocols by adding non-interactive zero-knowledge proofs.Each participant proves that the messages sent to the other participants are generated in accordance to the protocol.The zero-knowledge proofs are forwarded to ensure the correct behavior of all participants involved in the protocol, without revealing any secret data.We use an enhanced type system for zero-knowledge to verify that the transformed protocols conform to their authorization policy even if some participants are compromised.Finally, we developed a tool that automatically generates ML implementations of protocols based on zero-knowledge proofs.The protocol transformation, the verification, and the generation of protocol implementations are fully automated.
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One of the important challenges when designing and analyzing cryptographic protocols is the enforcement of security properties in the presence of compromised participants. This paper presents a general technique for strengthening cryptographic protocols in order to satisfy authorization policies despite participant compromise. The central idea is to automatically transform the original cryptographic protocols by adding non-interactive zero-knowledge proofs.Each participant proves that the messages sent to the other participants are generated in accordance to the protocol.The zero-knowledge proofs are forwarded to ensure the correct behavior of all participants involved in the protocol, without revealing any secret data.We use an enhanced type system for zero-knowledge to verify that the transformed protocols conform to their authorization policy even if some participants are compromised.Finally, we developed a tool that automatically generates ML implementations of protocols based on zero-knowledge proofs.The protocol transformation, the verification, and the generation of protocol implementations are fully automated.
Key concepts: Zero-knowledge proof, Computer science, Mathematical proof, Protocol (science), Cryptographic primitive, Cryptographic protocol, Implementation, Cryptography