Advances in Secure Computing and Cryptography

The field of secure computing and cryptography is moving towards more efficient and secure solutions. Recent developments have focused on improving the resistance of cryptographic hardware against power side-channel attacks, as well as enhancing the performance of fully homomorphic encryption and elliptic curve cryptography. Notably, innovative approaches to logic synthesis, streaming architectures, and hybrid multiplication techniques are being explored to minimize leakage and optimize computational overhead. These advancements have the potential to significantly reduce the risk of sensitive information extraction and improve the overall security of cryptographic systems. Noteworthy papers include: PoSyn, which introduces a novel logic synthesis framework to enhance cryptographic hardware resistance against power side-channel attacks. ABC-FHE, which proposes a resource-efficient accelerator enabling bootstrappable parameters for client-side fully homomorphic encryption. Efficient Modular Multiplier over GF(2^m) for ECPM, which presents a hardware implementation of a hybrid multiplication technique for modular multiplication over binary fields. FicGCN, which unveils a homomorphic encryption efficiency framework from irregular graph convolutional networks.

Sources

PoSyn: Secure Power Side-Channel Aware Synthesis

ABC-FHE : A Resource-Efficient Accelerator Enabling Bootstrappable Parameters for Client-Side Fully Homomorphic Encryption

Efficient Modular Multiplier over GF (2^m) for ECPM

FPGA-Based Multiplier with a New Approximate Full Adder for Error-Resilient Applications

FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks

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