A Pre-processing Composition for Secret Key Recovery on Android Smartphone - Information Security Theory and Practice: Securing the Internet of Things Access content directly
Conference Papers Year : 2014

A Pre-processing Composition for Secret Key Recovery on Android Smartphone

Yuto Nakano
  • Function : Author
  • PersonId : 993988
Youssef Souissi
  • Function : Author
  • PersonId : 971834
Robert Nguyen
  • Function : Author
  • PersonId : 925649
Laurent Sauvage
Jean-Luc Danger
Sylvain Guilley
Shinsaku Kiyomoto
  • Function : Author
  • PersonId : 990575
Yutaka Miyake
  • Function : Author
  • PersonId : 990576

Abstract

Simple Side-Channel Analyses (SSCA) are known as techniques to uncover a cryptographic secret from one single spied waveform. Up to now, these very powerful attacks have been illustrated on simple devices which leakage was obvious. On more advanced targets, such as high-end processors of smartphones, a simple visual analysis of the waveforms might not be sufficient to read the secret at once. In this paper, we detail and explain how a composition of time-frequency pre-processings manages to extract the relevant information from one signal capture of an asymmetric cryptographic operation (RSA and ECC) running on an Android system. The lesson is that side-channel countermeasures must be applied even on advanced platforms such as smartphones to prevent secret information theft through the electromagnetic (EM) waveforms.
Fichier principal
Vignette du fichier
978-3-662-43826-8_6_Chapter.pdf (1.45 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01400921 , version 1 (22-11-2016)

Licence

Attribution

Identifiers

Cite

Yuto Nakano, Youssef Souissi, Robert Nguyen, Laurent Sauvage, Jean-Luc Danger, et al.. A Pre-processing Composition for Secret Key Recovery on Android Smartphone. 8th IFIP International Workshop on Information Security Theory and Practice (WISTP), Jun 2014, Heraklion, Crete, Greece. pp.76-91, ⟨10.1007/978-3-662-43826-8_6⟩. ⟨hal-01400921⟩
175 View
337 Download

Altmetric

Share

Gmail Facebook X LinkedIn More