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Enregistrement W3010117922

Electromagnetic Fault Injection On Two Microcontrollers: Methodology, Fault Model, Attack and Countermeasures

2020· dissertation· en· W3010117922 sur OpenAlexfundno aff
Haohao Liao

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2020
Typedissertation
Langueen
DomaineComputer Science
ThématiqueCryptographic Implementations and Security
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of Waterloo
Mots-clésMicrocontrollerFault (geology)Fault injectionComputer scienceEmbedded systemReliability engineeringComputer securityEngineeringGeologyOperating systemSeismologySoftware
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Cryptographic algorithms are being applied to various kinds of embedded devices such as credit card, smart phone, etc. Those cryptographic algorithms are designed to be resistant to mathematical analysis, however, passive Side Channel Attack (SCA) was demonstrated to be a serious security concern for embedded systems. These attacks analyzed the relationship between the side channel leakages (such as the execution time or power consumption) and the cryptographic operations in order to retrieve the secret information. Various countermeasures were proposed to thwart passive SCA by hiding this relationship. \n \nAnother different type of SCA, known as the active SCA is Fault Injection Attack (FIA). FIA can be divided into two phases. The first one is the fault injection phase where the attacker aims at injecting a fault to a target circuit with a specific timing and spatial accuracy. The second phase is the fault exploitation phase where the attacker exploits the induced fault and forms an attack. The major targets for the fault exploitation phase are the cryptographic algorithms and the application-sensitive processes. Over the last one and a half decades, FIA has attracted expanding research attention. \n \nThere are various techniques which could be used to conduct an FIA such as laser, Electromagnetic (EM) pulse, voltage/clock glitch, etc. EM FIA achieves a moderate spatial resolution and a high timing resolution. Moreover, since the EM pulse can pass through the package of the chip, the chip does not need to be fully decapsulated to run the attack. However, there remains a lack of understanding of the fault injected to the cryptographic devices and the countermeasures to protect them. Therefore, it is important to conduct in-depth research on EM FIA. \n \nThis dissertation concentrates on the study of EM FIA by analyzing the experimental results on two different devices, PIC16F687 and LPC1114. The PIC16F687 applies a two-stage pipeline with a Harvard structure. Faults injected to the PIC16F687 resulted in instruction replacement faults. After analysis of detailed experiments, two new Advanced Encryption Standard (AES)-128 attacks were proposed and empirically verified using a two-step attack approach. These new AES attacks were proposed with lower computational complexity unlike previous Differential Fault Analysis (DFA) algorithms. Instruction specific countermeasures were designed and verified empirically for AES to prevent known attacks and provide fault tolerant protection. \n \nThe second target chip was the LPC1114, which utilizes an ARM Cortex-M0 core with a three-stage pipeline and a Von Neumann structure. Fault injection on multiple LDR instructions were analyzed indicating both address faults and data faults were found. Moreover, the induced faults were investigated with detailed timing analysis taking the pipeline stall stage into consideration. Fault tolerant countermeasures were also proposed and verified empirically unlike previous fault tolerant countermeasures which were designed only for the instruction skip fault. \n \nBased on empirical results, the charge-based fault model was proposed as a new fault model. It utilizes the critical charge concept from single event upset and takes the supply voltage and the clock frequency of the target microcontroller into consideration. Unlike previous research where researchers suggested that the EM pulse induced delay or perturbation to the chip, the new fault model has been empirically verified on both PIC16F687 and LPC1114 over several frequencies and supply voltages. \n \nThis research contributes to state of the art in EM FIA research field by providing further advances in how to inject the fault, how to analyze the fault, how to build an attack with the fault, and how to mitigate the fault. This research is important for improving resilience and countermeasures for fault injection attacks for secure embedded microcontrollers.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Méthodes · Signal consensuel: Méthodes
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,035
Tête enseignante GPT0,276
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreMéthodes

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2020
Routes d'admission1
Résumé présentoui

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