The Next Generation of Digital Trust: Quantum-Safe Verification

Authors

  • Sajid Iqbal Department of Computer Science, Superior University, Lahore, 54000, Pakistan.
  • Yasir Shaheen Department of Computer Science, Superior University, Lahore, 54000, Pakistan.

Keywords:

Quantum-Resistant Merkle Tree (QRMT), zk-STARKs (Zero-Knowledge Scalable Transparent Arguments of Knowledge), Hash Function Randomization, Grover’s Algorithm

Abstract

Exponential progress in quantum computing jeopardizes current cryptographic frameworks, including Merkle Trees, owing to their reliance on conventional hash functions and public-key encryption methods. The research introduces QRMT as an innovative cryptographic framework that integrates zk-STARKs, lattice-based cryptography, and hash function randomization to enhance security and optimize performance. Benchmarks indicate that QRMT decreases proof generation time by 28–32% relative to classical Merkle Trees when subjected to Grover’s method attacks, while preserving logarithmic-scale verification efficiency. The QRMT employs a hash selection approach incorporating SHAKE-256, Blake3, and Poseidon hash functions, safeguarding against Grover’s algorithmattacks. The metadata encryption employs Kyber1024, utilizinglattice-based public-key encryption to supplant RSA and mitigate vulnerabilities to Shor’s algorithm assaults. Kyber1024 produces keys in around 0.005 milliseconds, which is 75 milliseconds more rapid than RSA-4096. The zk-STARK-verified procedure facilitates trustless and comprehensive evidence validation while safeguarding sensitive information. Our proof-of-concept instance exhibits efficient performance as the times for proof construction and verification increase at a rate slower than logarithmic in relation to data collecting growth. This approach provides quantum resistance for blockchain security, facilitating distributed safe systems and introducing new cryptographic technology alternatives.

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Published

2023-03-01

How to Cite

Sajid Iqbal, & Yasir Shaheen. (2023). The Next Generation of Digital Trust: Quantum-Safe Verification. Machine Learning for Human Intelligence, 1(01), 21–33. Retrieved from https://mlhi.org/index.php/main/article/view/23

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