Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ http://www.matpack.d...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
http://www.matpack.de/personal...
Part of book or chapter of book
Data sources: UnpayWall
https://doi.org/10.1007/119676...
Part of book or chapter of book . 2006 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2017
Data sources: DBLP
versions View all 2 versions
addClaim

Differential Power Analysis of Stream Ciphers

Authors: Wieland Fischer; Berndt M. Gammel; O. Kniffler; Joachim Velten;

Differential Power Analysis of Stream Ciphers

Abstract

Side-channel attacks on block ciphers and public key algorithms have been discussed extensively. However, there is only sparse literature about side-cannel attacks on stream ciphers. The few existing references mainly treat timing [8] and template attacks [10], or provide a theoretical analysis [6], [7] of weaknesses of stream cipher constructions. In this paper we present attacks on two focus candidates, Trivium and Grain, of the eSTREAM stream cipher project. The attacks exploit the resynchronization phase of ciphers. A novel concept for choosing initial value vectors is introduced, which totally eliminates the algorithmic noise of the device, leaving only the pure side-channel signal. This attack allows to recover the secret key with a small number of samples and without building templates. To prove the concept we apply the attack to hardware implementations of the ciphers. For both stream ciphers we are able to reveal the complete key.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    31
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Average