Quick Navigation
Topics
Quantum Machine Learning
Quantum Simulation
Quantum Foundations
Quantum Token Obfuscation via Superposition: A Post-Quantum Security Framework Using Multi-Basis Verification and Entropy-Driven Evolution
arXiv
Authors: S. M. Yousuf Iqbal Tomal, Abdullah Al Shafin
Year
2024
Paper ID
37314
Status
Preprint
Abstract Read
~2 min
Abstract Words
193
Citations
N/A
Abstract
Traditional cryptographic techniques, including token obfuscation, are increasingly vulnerable to quantum attacks due to advancements in quantum computing. Quantum algorithms such as Shor's and Grover's pose significant threats to classical security methods, necessitating quantum-resistant alternatives. This study proposes a quantum-based approach to token obfuscation that leverages superposition and multi-basis verification to enhance security against quantum adversaries. Tokens are encoded in quantum superposition states, ensuring probabilistic concealment until measured. A multi-basis verification protocol strengthens authentication by requiring validation across multiple quantum measurement bases. Additionally, a quantum decay protocol and token refresh mechanism dynamically manage the token lifecycle to prevent prolonged exposure and replay attacks. The model was tested through quantum simulations, evaluating entropy quality, adversarial robustness, and token verification reliability. Experimental validation demonstrates an entropy quality score of 0.9996, a 0% attack success rate across five adversarial models, and a 67% false positive rate, indicating strict security constraints. These findings confirm the effectiveness of quantum-based token obfuscation in preventing unauthorized reconstruction. The proposed approach provides a foundation for post-quantum cryptographic security by integrating entropy-driven state transformations, dynamic token evolution, and multi-basis verification. Future work will focus on optimizing computational efficiency and testing real-world implementations on quantum hardware.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- Traditional cryptographic techniques, including token obfuscation, are increasingly vulnerable to quantum attacks due to advancements in quantum computing.
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.