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DC Field | Value | Language |
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dc.contributor.author | Bhatia, Ashutosh | - |
dc.contributor.author | Bitragunta, Sainath | - |
dc.contributor.author | Tiwari, Kamlesh | - |
dc.date.accessioned | 2025-04-24T09:30:51Z | - |
dc.date.available | 2025-04-24T09:30:51Z | - |
dc.date.issued | 2025-03 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/10903120 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18768 | - |
dc.description.abstract | Quantum Key Distribution (QKD) is a ground-breaking method in modern cryptography that uses quantum mechanics to establish secure communication channels. Unlike classical cryptographic techniques, QKD provides unconditional security based on quantum principles, such as the no-cloning theorem and the uncertainty principle. However, existing QKD systems often suffer from high overhead in key post-processing, affecting efficiency and scalability, especially in resource-constrained environments such as IoT. This paper addresses these challenges by introducing two key optimizations to enhance the efficiency and security of QKD systems. First, we propose a method using Pseudorandom Number Generators (PRNGs) to determine key bit positions for verification by Alice and Bob, significantly reducing communication over-head. Second, we employ hash-based subsequence comparison to minimize data exchange and leverage the cryptographic strength of hash functions. Results demonstrate that these strategies effectively reduce key post-processing overhead and improve the efficiency of QKD systems in real-world conditions making QKD more practical and scalable for diverse application contexts. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Computer Science | en_US |
dc.subject | EEE | en_US |
dc.subject | Quantum key distribution (QKD) | en_US |
dc.subject | Pseudorandom-number generator | en_US |
dc.subject | BB84 protocol | en_US |
dc.subject | Hash-based functions | en_US |
dc.title | Quantum key distribution optimization: reducing communication overhead in post-processing steps | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Computer Science and Information Systems |
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