Description
Security in embedded systems requires the choice of a suitable implementation platform. For some systems, a general purpose microprocessor satisfies the requirements, but when high performance is the main criterium, cryptographic coprocessors in hardware are indispensable. When very high performance is required or when a high volume of coprocessors is needed, ASICs (Application Specific Integrated Circuits) are chosen as implementation platforms. In this case, the reconfigurability of FPGAs (Field Programmable Gate Arrays) is only used for prototyping. However, because of the efforts of FPGA manufacturing companies, the performance gap between ASICs and FPGAs becomes smaller and smaller. FPGAs have become heterogeneous systems with a variety of dedicated resources such as multiplier blocks, DSP slices, RAM blocks,... This explains the trend that FPGAs are more and more used as end products. Following this trend, the need for specific FPGA architectures can be justified. This presentation focuses on cryptographic coprocessor design, optimized for FPGAs.
Next sessions
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Dissecting CRAFT, a full-round attack
Speaker : Eran Lambooij - Inria
I will present the first full-round key recovery attack on CRAFT, a block cipher introduced at ToSC 2019. The attack builds on the previous observation (ToSC 2026) that the state of CRAFT can be decomposed into two parts that barely exchange information. We transform this property into a dissection attack on the full-round cipher. This shows that in some cases we can elevate the dissection attack[…]-
Cryptography
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Key Attack on the ACDGV Matrix Encryption Scheme
Speaker : Anmoal Porwal - Technical University of Munich
I will present our key-recovery attack on the ACDGV public-key encryption scheme proposed at ASIACRYPT 2024 by Aragon, Couvreur, Dyseryn, Gaborit, and Vinçotte. The secret key is a Gabidulin code hidden by appending random rows and columns and by left- and right-multiplication with invertible matrices. Our attack exploits the resulting algebraic structure to recover an equivalent secret key. It[…]-
Cryptography
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Asymmetric primitive
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Module Learning With Errors and Structured Extrapolated Dihedral Cosets
Speaker : Jinwei Zheng - Télécom Paris
The Module Learning With Errors (MLWE) problem is the fundamental hardness assumption underlying the key encapsulation and signature schemes ML-KEM and ML-DSA, which have been selected by NIST for post-quantum cryptography standardization. Understanding its quantum hardness is crucial for assessing the security of these standardized schemes. Inspired by the equivalence between LWE and[…]-
Cryptography
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