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FDTC 2026: Fault Diagnosis and Tolerance in Cryptography

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Día de Entrega:
2026-07-10 Faltan 9 días Extended
Fecha de Notificación:
2026-08-21
Fecha de conferencia:
2026-10-11
Ubicación:
Antalya, Turkey
Ediciones:
23
ICORE: C   Vistas: 36   Seguidores: 0   Asistentes: 0

Solicitud de Artículos

FDTC 2026 (Fault Diagnosis and Tolerance in Cryptography) is a ICORE C conference held in Antalya, Turkey on 2026-10-11. The paper submission deadline is 2026-07-10 (extended). Acceptance notifications are sent on 2026-08-21.

Fault injection is one of the most exploited means for extracting confidential information from embedded devices and for compromising their intended operation. Therefore, research on established as well as upcoming methodologies, and techniques for fault injection, architectures and design tools for the design of robust and protected cryptographic systems and embedded devices (both hardware and software), are essential. Fault injection case studies on popular categories of embedded devices like mobile phones, industrial control devices, hardware wallets for cryptocurrencies, security tokens, etc., are of high interest to improve the understanding of the implications on realistic applications. FDTC is the reference event in the field of fault injection appliances, fault attacks and countermeasures. Topics of interest include but are not limited to: - Fault injection setups and praxis: - novel and improved mechanisms for fault injection, e.g., using lasers, electromagnetic induction, or clock / power supply manipulation - practical issues in fault injection setups and validation results - practical limitations of attacks and implications for security - fault injection in emerging technologies, e.g., memristor, carbon nanotubes, etc - Case studies: - attacks on cryptographic implementations including post-quantum cryptography and lightweight cryptography - attacks on embedded devices like mobile phones, industrial control devices, hardware wallets for cryptocurrencies, security tokens, smartcards, TEEs, secure enclaves, etc. - attacks on machine learning architectures and validation of results - attacks on privacy-preserving technologies, e.g., homomorphic encryption, zero-knowledge proofs, multi-party computation - attacks on remote targets, e.g., FPGAs in the cloud - Related highly-invasive attacks on device security: - setups and practical results from invasive attacks, such as photonic emission analysis, laser thermal imaging, laser-voltage imaging, etc. - practical issues, limitations and potential - Countermeasures (detection, resistance and tolerance): - countermeasures for cryptographic implementations - countermeasures for firmware of embedded devices, e.g., for bootloaders - detection countermeasures, e.g., control flow integrity - HW/SW co-design countermeasures for CPU architectures - Design tools for analysis of fault attacks and countermeasures: - early estimation of fault attack robustness - automatic applications of fault countermeasures - formal methods and techniques for the verification of fault resiliency
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