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This research demonstrates significant efficiency gains in post-quantum cryptography by optimizing memory usage and data reuse on standard microcontroller hardware, rather than altering core algorithms. By reducing encapsulation cycles for ML-KEM on Arm Cortex-M7 processors, the study highlights practical pathways to accelerate secure communications without requiring new chip architectures. This approach is critical for deploying quantum-resistant encryption on resource-constrained IoT devices where power and processing limits are strict.

Surse care acoperăQuantum Zeitgeist, LessWrong, TechCrunch, Cybersecurity News

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Researchers Achieve 74 Per Cent Faster Encryption with Data Reuse Techniques

Quantum Zeitgeist3 octombrie 20263 min de cititArticolul și perspectiva sunt în engleză.

Reducing encryption processing time by over seventy per cent may seem improbable, yet this is precisely what new work achieves with existing hardware. Optimising how data flows around cryptographic operations, rather than altering the core code itself, yields dramatic performance increases for secure communications on everyday devices. This approach cuts ML-KEM encapsulation cycles on Arm Cortex-M7 processors by up to 74.

A reduction of up to seventy-four point six per cent in encapsulation cycles has been achieved by optimising the execution environment surrounding post-quantum cryptography on Arm Cortex-M7 processors. Research focused primarily on improving the core mathematical calculations within these systems, however gains are also possible by better utilising memory and integrating peripheral components. Researchers have identified improvements in how encryption software runs on…

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