Light the Signal: Optimization of Signal Leakage Attacks Against LWE-Based Key Exchange

Yue Qin, Ruoyu Ding, Chi Cheng*, Nina Bindel, Yanbin Pan, Jintai Ding

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

2 Citations (Scopus)

Abstract

Key exchange protocols from the learning with errors (LWE) problem share many similarities with the Diffie-Hellman-Merkle (DHM) protocol, which plays a central role in securing our Internet. Therefore, there has been a long time effort in designing authenticated key exchange directly from LWE to mirror the advantages of DHM-based protocols. In this paper, we revisit signal leakage attacks and show that the severity of these attacks against LWE-based (authenticated) key exchange is still underestimated. In particular, by converting the problem of launching a signal leakage attack into a coding problem, we can significantly reduce the needed number of queries to reveal the secret key. Specifically, for DXL-KE we reduce the queries from 1,266 to only 29, while for DBS-KE, we need only 748 queries, a great improvement over the previous 1,074,434 queries. Moreover, our new view of signals as binary codes enables recognizing vulnerable schemes more easily. As such we completely recover the secret key of a password-based authenticated key exchange scheme by Dabra et al. with only 757 queries and partially reveal the secret used in a two-factor authentication by Wang et al. with only one query. The experimental evaluation supports our theoretical analysis and demonstrates the efficiency and effectiveness of our attacks. Our results caution against underestimating the power of signal leakage attacks as they are applicable even in settings with a very restricted number of interactions between adversary and victim.

Original languageEnglish
Title of host publicationComputer Security – ESORICS 2022 - 27th European Symposium on Research in Computer Security, Proceedings
EditorsVijayalakshmi Atluri, Roberto Di Pietro, Christian D. Jensen, Weizhi Meng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages677-697
Number of pages21
ISBN (Print)9783031171390
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event27th European Symposium on Research in Computer Security, ESORICS 2022 - Virtual, Online
Duration: 26 Sept 202230 Sept 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13554 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference27th European Symposium on Research in Computer Security, ESORICS 2022
CityVirtual, Online
Period26/09/2230/09/22

Keywords

  • Key exchange
  • Learning with errors
  • Post-quantum cryptography
  • Signal leakage attack

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