Power analysis attacks against FPGA implementations of the DES

François Xavier Standaert*, Siddika Berna Örs, Jean Jacques Quisquater, Bart Preneel

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümBölümbilirkişi

42 Atıf (Scopus)

Özet

Cryptosystem designers frequently assume that secret parameters will be manipulated in tamper resistant environments. However, physical implementations can be extremely difficult to control and may result in the unintended leakage of side-channel information. In power analysis attacks, it is assumed that the power consumption is correlated to the data that is being processed. An attacker may therefore recover secret information by simply monitoring the power consumption of a device. Several articles have investigated power attacks in the context of smart card implementations. While FPGAs are becoming increasingly popular for cryptographic applications, there are only a few articles that assess their vulnerability to physical attacks. In this article, we demonstrate the specific properties of FPGAs w.r.t. Differential Power Analysis (DPA). First we emphasize that the original attack by Kocher et al. and the improvements by Brier et al. do not apply directly to FPGAs because their physical behavior differs substantially from that of smart cards. Then we generalize the DPA attack to FPGAs and provide strong evidence that FPGA implementations of the Data Encryption Standard (DES) are vulnerable to such attacks.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditörlerJurgen Becker, Marco Platzner, Serge Vernalde
YayınlayanSpringer Verlag
Sayfalar84-94
Sayfa sayısı11
ISBN (Basılı)3540229892, 9783540229896
DOI'lar
Yayın durumuYayınlandı - 2004
Harici olarak yayınlandıEvet

Yayın serisi

AdıLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim3203
ISSN (Basılı)0302-9743
ISSN (Elektronik)1611-3349

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