Simulation Data for Hybrid Quantum Encryption: QBER vs. Channel Loss & Performance Comparison Between CRYSTALS–Kyber vs. Classical Diffie–Hellman
- Citation Author(s):
-
NILADRI BISWAS
- Submitted by:
- NILADRI BISWAS
- Last updated:
- DOI:
- 10.21227/444s-ke73
- Data Format:
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Abstract
This dataset supports the research on hybrid quantum encryption by providing simulation results for Quantum Bit Error Rate (QBER) vs. Channel Loss in Quantum Key Distribution (QKD). The dataset includes numerical values used to generate the QBER vs. Channel Loss graph, which illustrates how increasing channel loss impacts quantum encryption performance. This relationship is illustrated graphically by the uploaded dataset image, which shows the critical threshold at which QBER surpasses secure transmission limits. This dataset is essential for researchers analyzing quantum communication security, optimizing QKD systems, and integrating quantum-safe cryptographic protocols.
Instructions:
1. Overview
This dataset contains simulation results supporting research on hybrid quantum encryption, specifically focusing on:
- QBER vs. Channel Loss in Quantum Key Distribution (QKD)
- Performance Comparison of CRYSTALS-Kyber vs. Classical Diffie-Hellman
These datasets are intended for researchers studying quantum cryptography, QKD security, and post-quantum cryptographic integration.
2. Dataset Contents
- qber_vs_loss.csv – Contains channel loss values (in dB) and corresponding Quantum Bit Error Rates (QBER).
- performance_comparison.csv – Includes execution times (in milliseconds) for CRYSTALS-Kyber and Diffie-Hellman over different key exchange operations.
- qber_vs_loss.png – Graph of QBER vs. Channel Loss.
- kyber_vs_dh.png – Graph comparing Kyber and Diffie-Hellman performance.
3. Data Format & Structure
qber_vs_loss.csv
| Channel_Loss_dB | QBER |
|---|---|
| 0 | 0.01 |
| 5 | 0.023 |
| 10 | 0.045 |
| 15 | 0.06 |
| 20 | 0.08 |
performance_comparison.csv
| Num_Key_Exchanges | DH_Runtime_ms | Kyber_Runtime_ms |
|---|---|---|
| 1 | 0.5 | 1.15 |
| 10 | 5 | 11.5 |
| 100 | 50 | 115 |
4. How to Use the Dataset
The CSV files can be opened in Excel, Google Sheets, or Python using pandas. The dataset is useful for:
- Analyzing the impact of photon loss on QKD security.
- Benchmarking post-quantum cryptography performance.
5. Citation
If you use this dataset, please cite:
"Simulation Data for Hybrid Quantum Encryption and Decryption, IEEE DataPort, DOI: []"
