Skip to Main content Skip to Navigation
Conference papers

Differential Power Analysis Enhancement with Statistical Preprocessing

Résumé : Differential Power Analysis (DPA) is a powerful Side-Channel Attack (SCA) targeting as well symmetric as asymmetric ciphers. Its principle is based on a statistical treatment of power consumption measurements monitored on an Integrated Circuit (IC) computing cryptographic operations. A lot of works have proposed improvements of the attack, but no one focuses on ordering measurements. Our proposal consists in a statistical preprocessing which ranks measurements in a statistically optimized order to accelerate DPA and reduce the number of required measurements to disclose the key.
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00548738
Contributor : Martine Peridier <>
Submitted on : Monday, December 20, 2010 - 11:47:43 AM
Last modification on : Wednesday, October 24, 2018 - 9:02:05 AM
Long-term archiving on: : Friday, December 2, 2016 - 10:19:26 PM

File

Differential.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Victor Lomné, Amine Dehbaoui, Philippe Maurine, Lionel Torres, Michel Robert. Differential Power Analysis Enhancement with Statistical Preprocessing. DATE: Design, Automation and Test in Europe, 2010, Dresden, Germany. pp.1301-1304, ⟨10.1109/DATE.2010.5457007⟩. ⟨lirmm-00548738⟩

Share

Metrics

Record views

257

Files downloads

790