Regularly lossy functions and applications

In STOC 2008, Peikert and Waters introduced a powerful primitive called lossy trapdoor functions (LTFs). In a nutshell, LTFs are functions that behave in one of two modes. In the normal mode, functions are injective and invertible with a trapdoor. In the lossy mode, functions statistically lose info...

Full description

Saved in:
Bibliographic Details
Main Authors: CHEN, Yu, QIN, Baodong, XUE, Haiyang
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/9201
https://ink.library.smu.edu.sg/context/sis_research/article/10206/viewcontent/regularly_lossy.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-10206
record_format dspace
spelling sg-smu-ink.sis_research-102062024-08-13T05:11:01Z Regularly lossy functions and applications CHEN, Yu QIN, Baodong XUE, Haiyang In STOC 2008, Peikert and Waters introduced a powerful primitive called lossy trapdoor functions (LTFs). In a nutshell, LTFs are functions that behave in one of two modes. In the normal mode, functions are injective and invertible with a trapdoor. In the lossy mode, functions statistically lose information about their inputs. Moreover, the two modes are computationally indistinguishable. In this work, we put forward a relaxation of LTFs, namely, regularly lossy functions (RLFs). Compared to LTFs, the functions in the normal mode are not required to be efficiently invertible or even unnecessary to be injective. Instead, they could also be lossy, but in a regular manner. We also put forward richer abstractions of RLFs, namely all-but-one regularly lossy functions (ABO-RLFs). We show that (ABO)-RLFs admit efficient constructions from both a variety of number-theoretic assumptions and hash proof system (HPS) for subset membership problems satisfying natural algebraic properties. Thanks to the relaxations on functionality, the constructions enjoy shorter key size and better computational efficiency than that of (ABO)LTFs. We demonstrate the applications of (ABO)-RLFs in leakage-resilient cryptography.– As a special case of RLFs, lossy functions imply leakage-resilient injective one-way functions with optimal leakage rate 1 − o(1).– ABO-RLFs immediately imply leakage-resilient message authentication code (MAC) with optimal leakage rate 1 − o(1), though in a weak sense.– ABO-RLFs together with HPS give rise to leakage-resilient chosenciphertext (CCA) secure key encapsulation mechanisms (KEM) (this approach extends naturally to the identity-based setting). Combining the construction of ABO-RLFs from HPS, this gives the first leakage-resilient CCA-secure public-key encryption (PKE) with optimal leakage rate based solely on HPS, and thus goes beyond the barrier posed by Dodis et al. (Asiacrypt 2010). 2018-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9201 info:doi/10.1007/978-3-319-76953-0_26 https://ink.library.smu.edu.sg/context/sis_research/article/10206/viewcontent/regularly_lossy.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Information Security
spellingShingle Information Security
CHEN, Yu
QIN, Baodong
XUE, Haiyang
Regularly lossy functions and applications
description In STOC 2008, Peikert and Waters introduced a powerful primitive called lossy trapdoor functions (LTFs). In a nutshell, LTFs are functions that behave in one of two modes. In the normal mode, functions are injective and invertible with a trapdoor. In the lossy mode, functions statistically lose information about their inputs. Moreover, the two modes are computationally indistinguishable. In this work, we put forward a relaxation of LTFs, namely, regularly lossy functions (RLFs). Compared to LTFs, the functions in the normal mode are not required to be efficiently invertible or even unnecessary to be injective. Instead, they could also be lossy, but in a regular manner. We also put forward richer abstractions of RLFs, namely all-but-one regularly lossy functions (ABO-RLFs). We show that (ABO)-RLFs admit efficient constructions from both a variety of number-theoretic assumptions and hash proof system (HPS) for subset membership problems satisfying natural algebraic properties. Thanks to the relaxations on functionality, the constructions enjoy shorter key size and better computational efficiency than that of (ABO)LTFs. We demonstrate the applications of (ABO)-RLFs in leakage-resilient cryptography.– As a special case of RLFs, lossy functions imply leakage-resilient injective one-way functions with optimal leakage rate 1 − o(1).– ABO-RLFs immediately imply leakage-resilient message authentication code (MAC) with optimal leakage rate 1 − o(1), though in a weak sense.– ABO-RLFs together with HPS give rise to leakage-resilient chosenciphertext (CCA) secure key encapsulation mechanisms (KEM) (this approach extends naturally to the identity-based setting). Combining the construction of ABO-RLFs from HPS, this gives the first leakage-resilient CCA-secure public-key encryption (PKE) with optimal leakage rate based solely on HPS, and thus goes beyond the barrier posed by Dodis et al. (Asiacrypt 2010).
format text
author CHEN, Yu
QIN, Baodong
XUE, Haiyang
author_facet CHEN, Yu
QIN, Baodong
XUE, Haiyang
author_sort CHEN, Yu
title Regularly lossy functions and applications
title_short Regularly lossy functions and applications
title_full Regularly lossy functions and applications
title_fullStr Regularly lossy functions and applications
title_full_unstemmed Regularly lossy functions and applications
title_sort regularly lossy functions and applications
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/sis_research/9201
https://ink.library.smu.edu.sg/context/sis_research/article/10206/viewcontent/regularly_lossy.pdf
_version_ 1814047789478313984