Algorithmic Countermeasures Against Fault Attacks and Power Analysis for RSA-CRT

An RSA Implementation Resistant to Fault Attacks and to Simple Power Analysis

IEEE Transactions on Computers ◽

10.1109/tc.2006.135 ◽

2006 ◽

Vol 55 (9) ◽

pp. 1116-1120 ◽

Cited By ~ 75

Author(s):

C. Giraud

Keyword(s):

Power Analysis ◽

Fault Attacks ◽

Simple Power

Download Full-text

Side-channel power analysis of different protection schemes against fault attacks on AES

2014 International Conference on ReConFigurable Computing and FPGAs (ReConFig14) ◽

10.1109/reconfig.2014.7032555 ◽

2014 ◽

Cited By ~ 5

Author(s):

Pei Luo ◽

Yunsi Fei ◽

Liwei Zhang ◽

A. Adam Ding

Keyword(s):

Power Analysis ◽

Side Channel ◽

Fault Attacks ◽

Channel Power

Download Full-text

Power Analysis and Fault Attacks against Secure CAN: How Safe Are Your Keys?

SAE International Journal of Transportation Cybersecurity and Privacy ◽

10.4271/11-01-01-0001 ◽

2018 ◽

Vol 1 (1) ◽

pp. 3-18 ◽

Cited By ~ 1

Author(s):

Colin O’Flynn ◽

Greg d’Eon

Keyword(s):

Power Analysis ◽

Fault Attacks

Download Full-text

Protecting against Statistical Ineffective Fault Attacks

IACR Transactions on Cryptographic Hardware and Embedded Systems ◽

10.46586/tches.v2020.i3.508-543 ◽

2020 ◽

pp. 508-543

Author(s):

Joan Daemen ◽

Christoph Dobraunig ◽

Maria Eichlseder ◽

Hannes Gross ◽

Florian Mendel ◽

...

Keyword(s):

Power Analysis ◽

Building Blocks ◽

Implementation Cost ◽

Fault Attacks ◽

Single Fault ◽

Fine Grained ◽

Abstraction Layer ◽

Computational Overhead ◽

Protection Mechanisms ◽

Simple Combination

Statistical Ineffective Fault Attacks (SIFA) pose a threat for many practical implementations of symmetric primitives. Countermeasures against both power analysis and fault attacks typically do not prevent straightforward SIFA attacks, which require only very limited knowledge about the concrete implementation. Therefore, the exploration of countermeasures against SIFA that do not rely on protocols or physical protection mechanisms is of great interest. In this paper, we describe different countermeasure strategies against SIFA. First, we introduce an abstraction layer between the algorithmic specification of a cipher and its implementation in hardware or software to study and describe resistance against SIFA. We then show that by basing the masked implementation on permutations as building blocks, we can build circuits that withstand single-fault SIFA and DPA attacks. We show how this approach can be applied to 3-bit, 4-bit, and 5-bit S-boxes and the AES S-box. Additionally, we present a strategy based on fine-grained fault detection suitable for protecting any circuit against SIFA attacks. Although this approach may lead to a higher implementation cost due to the fine-grained detection needed, it can be used to protect arbitrary circuits and can be generalized to cover multi-fault SIFA. For single-fault SIFA protection, our countermeasures only have a small computational overhead compared to a simple combination of masking and duplication.

Download Full-text

A New CRT-RSA Scheme Resistant to Power Analysis and Fault Attacks

2008 Third International Conference on Convergence and Hybrid Information Technology ◽

10.1109/iccit.2008.161 ◽

2008 ◽

Cited By ~ 4

Author(s):

JaeCheol Ha ◽

ChulHyun Jun ◽

JeaHoon Park ◽

SangJae Moon ◽

CkangKyun Kim

Keyword(s):

Power Analysis ◽

Fault Attacks

Download Full-text

Evaluation von Gesundheitsförderungsprogrammen - Methodische Stolpersteine und pragmatische Empfehlungen

Zeitschrift für Gesundheitspsychologie ◽

10.1026//0943-8149.8.1.18 ◽

2000 ◽

Vol 8 (1) ◽

pp. 18-24 ◽

Cited By ~ 10

Author(s):

Gert Kaluza ◽

Hans-Henning Schulze

Keyword(s):

Effect Size ◽

Power Analysis ◽

Prävention Und Gesundheitsförderung ◽

Size Display ◽

Methodische Probleme

Zusammenfassung. Die Evaluation von Interventionen zur Prävention und Gesundheitsförderung stellt ein zentrales Aufgabenfeld der gesundheitspsychologischen Forschung dar. Häufige methodische Probleme entsprechender Evaluationsstudien betreffen 1. Ausgangswert-Unterschiede bei nicht randomisierten Studiendesigns, 2. Abhängigkeit von Beobachtungen bei Gruppeninterventionsstudien, 3. Kapitalisierung von Irrtumswahrscheinlichkeiten aufgrund einer Vielzahl von abhängigen Variablen und 4. Beurteilung der praktischen Relevanz statistisch signifikanter Interventionseffekte. Zu deren pragmatischer Lösung werden u.a. 1. die Anwendung kovarianzanalytischer Auswertungsstrategien, 2. die Berechnung von Intraclass-Korrelationen und ggf. eine Datenauswertung auf der Ebene der Gruppenmittelwerte, 3. eine Reduktion der Anzahl der abhängigen Variablen mittels Hauptkomponentenanalyse sowie eine Alpha-Adjustierung unter Berücksichtigung der Teststärke (“compromise power analysis”) und 4. die Umrechnung gängiger Effektstärken in prozentuale Erfolgsraten (“binomial effect size display”) empfohlen.

Download Full-text