Results 1 to 10 of about 5,753 (265)
FPGA multi-unit parallel optimization and implementation of post-quantum cryptography CRYSTALS-Kyber
In lattice-based post-quantum cryptography, polynomial multiplication is complicated and time-consuming.In order to improve the computational efficiency of lattice cryptography in practical applications, an FPGA multi-unit parallel optimization and ...
Bin LI +3 more
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Efficient and Low-Cost Modular Polynomial Multiplier for WSN Security
Wireless Sensor Network (WSN) technology has constrained computing resources that require efficient and low-cost cryptographic hardware to provide security services, particularly when dealing with large modular polynomial multiplication in cryptography ...
Fariha Haroon, Hua Li
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Number Theoretic Transform (NTT) enables speeding up polynomial multiplications, thereby accelerating the implementation of lattice-based post-quantum cryptography (PQC) algorithms.
Duc-Thuan Dam +5 more
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CRYPHTOR: A Memory-Unified NTT-Based Hardware Accelerator for Post-Quantum CRYSTALS Algorithms
This paper presents the design and FPGA implementation of a hardware accelerator for the Post-Quantum CRYSTALS-Kyber and CRYSTALS-Dilithium algorithms, named CRYPHTOR (CRYstals Polynomial HW acceleraTOR).
Stefano Di Matteo +2 more
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GPU-oriented implementation and optimization of Karatsuba–NTT polynomial multiplication
Polynomial multiplication serves as a fundamental computational primitive in modern cryptography–including fully homomorphic encryption and zero-knowledge proofs –as well as in digital signal processing.
Ruwei Huang +3 more
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Parallel Accelerating Number Theoretic Transform for Bootstrapping on a Graphics Processing Unit
The bootstrapping procedure has become the main bottleneck affecting the efficiency of all known fully homomorphic encryption (FHE) schemes. The state-of-the-art scheme for efficient bootstrapping, which is called fully homomorphic encryption over the ...
Huixian Li +3 more
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Accelerating homomorphic ReLU via segmented lookup table and dynamic CG-NTT reuse
Fully homomorphic encryption does not support nonlinear homomorphic computation, making it difficult to directly implement homomorphic ReLU evaluation in privacy-preserving machine learning.
Liao Yinglong +6 more
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Better Circuits for Binary Polynomial Multiplication. [PDF]
Find MG, Peralta R.
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A Radix-2/4/8-Based Pipelined NTT/INTT Architecture for Homomorphic Encryption
Homomorphic encryption (HE) is a cryptographic scheme that enables data to be stored, transmitted, and processed in encrypted form, making it an effective solution for data-sensitive applications such as defense and healthcare.
Ju-Hyung Lee +2 more
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The rapid development of the Internet of Things (IoT) is transforming various economic and industrial sectors by embedding interconnected devices within their operational processes. However, security and privacy risks associated with these interconnected
Atef Ibrahim, Fayez Gebali
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