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Ensuring High-Quality Randomness in Cryptographic Key Generation

Authors :
Corrigan-Gibbs, Henry
Mu, Wendy
Boneh, Dan
Ford, Bryan
Publication Year :
2013

Abstract

The security of any cryptosystem relies on the secrecy of the system's secret keys. Yet, recent experimental work demonstrates that tens of thousands of devices on the Internet use RSA and DSA secrets drawn from a small pool of candidate values. As a result, an adversary can derive the device's secret keys without breaking the underlying cryptosystem. We introduce a new threat model, under which there is a systemic solution to such randomness flaws. In our model, when a device generates a cryptographic key, it incorporates some random values from an entropy authority into its cryptographic secrets and then proves to the authority, using zero-knowledge-proof techniques, that it performed this operation correctly. By presenting an entropy-authority-signed public-key certificate to a third party (like a certificate authority or SSH client), the device can demonstrate that its public key incorporates randomness from the authority and is therefore drawn from a large pool of candidate values. Where possible, our protocol protects against eavesdroppers, entropy authority misbehavior, and devices attempting to discredit the entropy authority. To demonstrate the practicality of our protocol, we have implemented and evaluated its performance on a commodity wireless home router. When running on a home router, our protocol incurs a 2.1x slowdown over conventional RSA key generation and it incurs a 4.4x slowdown over conventional EC-DSA key generation.<br />Comment: This is an extended and corrected version of a paper which appeared in the proceedings of the 2013 ACM Conference on Computer and Communications Security (CCS). This version corrects an error in the proceedings version of the DSA protocol and accompanying security proof. This version also contains the full proof of security for the RSA protocol

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1309.7366
Document Type :
Working Paper