Electromagnetic Attack

Quisquater, Jean-Jacques; Samyde, David

doi:10.1007/978-1-4419-5906-5_125

Cited by 7 publications

(6 citation statements)

References 8 publications

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“…A representative scheme of an attack using an electromagnetic pulse injector can be seen in Figure 3 . Inducing Foucault currents on the chip surface can cause a fault of up to a single bit [ 26 ]. In addition to the security aspect, there is also the characterization and study of the resilience of integrated circuits to fault insertions produced by the environment itself, such as electromagnetic interference or cosmic rays, when circuits are used in space applications [ 27 ].…”

Section: Physical Fault Injection Implementation Attacksmentioning

confidence: 99%

Protecting FPGA-Based Cryptohardware Implementations from Fault Attacks Using ADCs

Potestad-Ordóñez,

Casado-Galán,

Tena-Sánchez

2024

Sensors

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The majority of data exchanged between connected devices are confidential and must be protected against unauthorized access. To ensure data protection, so-called cryptographic algorithms are used. These algorithms have proven to be mathematically secure against brute force due to the key length, but their physical implementations are vulnerable against physical attacks. The physical implementation of these algorithms can result in the disclosure of information that can be used to access confidential data. Some of the most powerful hardware attacks presented in the literature are called fault injection attacks. These attacks involve introducing a malfunction into the normal operation of the device and then analyzing the data obtained by comparing them with the expected behavior. Some of the most common methods for injecting faults are the variation of the supply voltage and temperature or the injection of electromagnetic pulses. In this paper, a hardware design methodology using analog-to-digital converters (ADCs) is presented to detect attacks on cryptocircuits and prevent information leakage during fault injection attacks. To assess the effectiveness of the proposed design approach, FPGA-based ADC modules were designed that detect changes in temperature and supply voltage. Two setups were implemented to test the scheme against voltage and temperature variations and injections of electromagnetic pulses. The results obtained demonstrate that, in 100% of the cases, when the correct operating voltage and temperature range were established, the detectors could activate an alarm signal when the cryptographic module was attacked, thus avoiding confidential information leakage and protecting data from being exploited.

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Section: Physical Fault Injection Implementation Attacksmentioning

confidence: 99%

Protecting FPGA-Based Cryptohardware Implementations from Fault Attacks Using ADCs

Potestad-Ordóñez,

Casado-Galán,

Tena-Sánchez

2024

Sensors

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“…Відомо [2], що існує декілька рівнів абстракції при проектуванні та аналізі стійкості криптографічних систем: абстрактна математична модель криптографічного перетворення (алгебраїчні та ймовірнісні моделі шифру), модель засобу криптографічного захисту інформації та криптосистеми реалізованій на конкретній програмно-апаратної платформі. Перші моделі переважно аналізуються методами класичного криптоаналізу, останні -криптоаналізу з використанням інформації з побічних каналів (англ.…”

Section: вступunclassified

“…-side-channel cryptanalysis). Таким чином, у криптоаналізі побічними каналами досліджується вплив непрямої інформації, отриманої під час роботи криптосистеми, на ослаблення стійкості до часткового або повному зламу [2]. Очевидно, що методи криптоаналізу по побічним каналам залежить від архітектури та особливостей реалізації обчислювальної системи, у межах якої реалізовано засіб КЗІ.…”

Section: вступunclassified

Стійкість Та Ефективність Криптографічних Алгоритмів Що Використовуються У Мобільних Пристроях

Середа¹,

Даценко²,

Павленко³

et al. 2023

ІККТ

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У статті розглядаються новітні типи криптографічних алгоритмів у різних мобільних операційних системах(IOS, Android). Пропонується дослідити різні методи для оцінки стійкості та ефективності представлених алгоритмів. Криптоаналіз математичних моделей та фізичних приладів для захисту конфіденційної чи чутливої інформації.

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“…Fault attacks are active attacks that modify the circuit environment to change its behavior or introduce faults into its computations [2]. Common fault attack methods include electromagnetic interference, electromagnetic pulse attacks [3], and more. These attacks can cause various types of errors in the circuit, and performing fault attacks on an FPGA can result in singlebit or multi-bit faults [4].…”

Section: Introductionmentioning

confidence: 99%

Verification and Fault Injection Platform Based on MTB Stimulus Generation Method for L2 Deep Market Quote Decoder

Yu,

Liang,

et al. 2024

IEEE Access

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With the rapid advancement of quantitative trading technology, the demand for low-latency in Level 2 Deep Market Quote (L2DMQ) Decoding is ever-increasing. The L2DMQ decoder faces increasingly significant challenges in terms of bandwidth and performance. As a result, L2DMQ decoders based on FPGA and ASIC technologies are becoming mainstream solutions.Functional verification and testing of L2DMQ decoders implemented as digital circuits became a challenging task. Given the richness of message template types in L2DMQ and the expanded functionalities of decoders potentially leading to decreased stability in the verification platform, efficient and stable decoder functional verification becomes a complex issue. Furthermore, factors like long-term operation or environments with increased levels of electrostatic electricity or charged particle occurrences can lead to functional faults in the decoding circuit. Thus, error injection has become critically important for testing the reliability of the L2DMQ decoder. This paper investigates the encoding method of L2DMQ, providing a comprehensive complexity analysis. Based on the analysis, a message-template-based (MTB) random stimulus generation method is proposed. Compared to the traditional Message-Length-based (MLB) random stimulus generation method, our proposed MTB method simplifies the reference model of the verification platform and enhances its stability. The experimental results show that the verification platform reduces runtime by 26.69% to 69.29%. Building on this, we target a Universal Verification Methodology (UVM)-based fault-injection and detection platform with MTB random stimulus. Experimental results reveal that the obtained functional coverage reaches up to more than 99% when the number of fault injections ranges from 3750 to 22500. This demonstrates the efficiency of the proposed techniques when adopted using UVM and determines error severity levels through the functional coverage while varying different MTB random stimuli.

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Electromagnetic Attack

Cited by 7 publications

References 8 publications

Protecting FPGA-Based Cryptohardware Implementations from Fault Attacks Using ADCs

Protecting FPGA-Based Cryptohardware Implementations from Fault Attacks Using ADCs

Стійкість Та Ефективність Криптографічних Алгоритмів Що Використовуються У Мобільних Пристроях

Verification and Fault Injection Platform Based on MTB Stimulus Generation Method for L2 Deep Market Quote Decoder

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