Randomness in Cryptography: Theory Meets Practice. / Hutchinson, Daniel.

2019. 174 p.

Research output: ThesisDoctoral Thesis

Unpublished

Standard

Randomness in Cryptography: Theory Meets Practice. / Hutchinson, Daniel.

2019. 174 p.

Research output: ThesisDoctoral Thesis

Harvard

Hutchinson, D 2019, 'Randomness in Cryptography: Theory Meets Practice', Ph.D., Royal Holloway, University of London.

APA

Vancouver

Author

BibTeX

@phdthesis{a6b0ff5d1887481d9ab9a6642057861d,
title = "Randomness in Cryptography: Theory Meets Practice",
abstract = "Randomness is a key ingredient in every area of cryptography; and as the quotegoes, producing it should not be left to chance. Unfortunately it's very dicultto produce true randomness, and consuming applications often call for large, high quality amounts on boot or in quick succession. To meet this requirement we make use of Pseudo-Random Number Generators (PRNGs) which we initialise with a small amount of randomness to produce what we hope to be high quality pseudo-random output.In this thesis we investigate some of the different security models associated with capturing what makes a good{"} PRNG, along with the problem of constructing a secure PRNG by adapting primitives available. We focus mainly on the sponge construction, noting that the original formulation does not lend itself well to a secure PRNG but with some adjustment can be made into a robust and secure PRNG. This is done by utilising a feed-forward of the inner, secure part of the sponge state, which establishes an efficient forward security mechanism.We then present an updated security model for PRNGs designed to capture variable output subroutines present in some PRNGs where an adversary is allowed to request differing amounts of output with each call to the PRNG. We maintain the ability to prove robustness via two simpler security notions which are now extended to variable-output versions.We then follow with an analysis of the NIST PRNGs in this new security model,which served as motivation for updating the security model. We show that undercertain assumptions the NIST generators do satisfy security in this model.",
author = "Daniel Hutchinson",
year = "2019",
month = feb
day = "23",
language = "English",
school = "Royal Holloway, University of London",

}

RIS

TY - THES

T1 - Randomness in Cryptography: Theory Meets Practice

AU - Hutchinson, Daniel

PY - 2019/2/23

Y1 - 2019/2/23

N2 - Randomness is a key ingredient in every area of cryptography; and as the quotegoes, producing it should not be left to chance. Unfortunately it's very dicultto produce true randomness, and consuming applications often call for large, high quality amounts on boot or in quick succession. To meet this requirement we make use of Pseudo-Random Number Generators (PRNGs) which we initialise with a small amount of randomness to produce what we hope to be high quality pseudo-random output.In this thesis we investigate some of the different security models associated with capturing what makes a good" PRNG, along with the problem of constructing a secure PRNG by adapting primitives available. We focus mainly on the sponge construction, noting that the original formulation does not lend itself well to a secure PRNG but with some adjustment can be made into a robust and secure PRNG. This is done by utilising a feed-forward of the inner, secure part of the sponge state, which establishes an efficient forward security mechanism.We then present an updated security model for PRNGs designed to capture variable output subroutines present in some PRNGs where an adversary is allowed to request differing amounts of output with each call to the PRNG. We maintain the ability to prove robustness via two simpler security notions which are now extended to variable-output versions.We then follow with an analysis of the NIST PRNGs in this new security model,which served as motivation for updating the security model. We show that undercertain assumptions the NIST generators do satisfy security in this model.

AB - Randomness is a key ingredient in every area of cryptography; and as the quotegoes, producing it should not be left to chance. Unfortunately it's very dicultto produce true randomness, and consuming applications often call for large, high quality amounts on boot or in quick succession. To meet this requirement we make use of Pseudo-Random Number Generators (PRNGs) which we initialise with a small amount of randomness to produce what we hope to be high quality pseudo-random output.In this thesis we investigate some of the different security models associated with capturing what makes a good" PRNG, along with the problem of constructing a secure PRNG by adapting primitives available. We focus mainly on the sponge construction, noting that the original formulation does not lend itself well to a secure PRNG but with some adjustment can be made into a robust and secure PRNG. This is done by utilising a feed-forward of the inner, secure part of the sponge state, which establishes an efficient forward security mechanism.We then present an updated security model for PRNGs designed to capture variable output subroutines present in some PRNGs where an adversary is allowed to request differing amounts of output with each call to the PRNG. We maintain the ability to prove robustness via two simpler security notions which are now extended to variable-output versions.We then follow with an analysis of the NIST PRNGs in this new security model,which served as motivation for updating the security model. We show that undercertain assumptions the NIST generators do satisfy security in this model.

M3 - Doctoral Thesis

ER -