Area-Efficient Matrix-Vector Polynomial Multiplication Architecture for ML-KEM Using Interleaving and Folding Transformation

Keyphrases

• Area-efficient 100%
• Area-efficient Design 66%
• Arithmetic Operations 33%
• Computational Complexity 33%
• Continuous Data 33%
• Design Strategy 33%
• Design-build 33%
• Downscaling 33%
• Fast Filtering 33%
• Filtering Structure 33%
• Folding Transformation 100%
• Hardware Efficiency 33%
• Hardware Resources 33%
• Interleaving Technique 33%
• Matrix-vector 100%
• Number Theoretic Transform 100%
• Optimization Approach 33%
• Polynomial Arithmetic 33%
• Polynomial multiplication 100%
• Post-quantum Cryptography 33%
• Proposed Design 66%
• Security Level 66%
• Structure Structure 33%
• Substructure Sharing 33%
• Transform Domain 33%
• Unfolding Algorithm 33%
• Vector Polynomials 100%

Computer Science

• Arithmetic Operation 33%
• Computational Complexity 33%
• Computer Hardware 33%
• Continuous Data 33%
• Data Processing 33%
• Design Strategy 33%
• Experimental Result 33%
• Hardware Resource 33%
• Inverse Transform 33%
• Machine Learning 100%
• Quantum Cryptography 33%
• security level 66%
• Transform Domain 33%