Security Analysis of QKD Protocols: Simulation &amp; Comparison

Khan, Ehtesham; Meraj, Sumayya; Khan, Muhammad Mubashir

doi:10.1109/ibcast47879.2020.9044522

Cited by 3 publications

(4 citation statements)

References 22 publications

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“…As a result, the uncertainty accuracy in QKD research simulations ranges from 90 to 99 percent. However, in this work, even though the error threshold with Eve's presence exceeds the threshold, 0.11 was chosen as the error threshold, consistent with the theory and literature [7]. They both do so without revealing any important information.…”

Section: Communication Phase Resultsmentioning

confidence: 87%

“…Shajahan, Rimitha, Nair, and Suchithra S. [59] explained how a networking scenario could exploit pure laws in physics through QKD simulation inside a classical communication channel. Khan et al [7] presented an indepth security analysis on QKD protocols encompassing theoretical assertions to practical implementation factors. Anuj Sethia and Anindita Banerjee [60] simulated a practical model implementation of differential phase shift (DPS) QKD with a toolkit based on Simulink and MATLAB.…”

Section: Related Workmentioning

confidence: 99%

“…However, the current state-of-the-art key distribution and management processes face constraints and challenges such as managing numerous encryption keys, threats from malicious insiders and intruders, data accessibility by non-authorized users, governance, and application support, while dependent on the communication channels for communication secrecy. They depend on mathematical difficulty and computational complexities [6,7] compared to quantum technologies and cannot detect eavesdropping. This inability and dependency variation may allow malicious intruders and insiders to use clever and efficient ways to actively or passively manipulate and complicate secure secret key transmission and distribution.…”

Section: Introductionmentioning

confidence: 99%

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Quantum Key Distribution: Modeling and Simulation through BB84 Protocol Using Python3

Adu-Kyere

Nigussie

Isoaho

2022

Sensors

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Autonomous “Things” is becoming the future trend as the role, and responsibility of IoT keep diversifying. Its applicability and deployment need to re-stand technological advancement. The versatile security interaction between IoTs in human-to-machine and machine-to-machine must also endure mathematical and computational cryptographic attack intricacies. Quantum cryptography uses the laws of quantum mechanics to generate a secure key by manipulating light properties for secure end-to-end communication. We present a proof-of-principle via a communication architecture model and implementation to simulate these laws of nature. The model relies on the BB84 quantum key distribution(QKD) protocol with two scenarios, without and with the presence of an eavesdropper via the interception-resend attack model from a theoretical, methodological, and practical perspective. The proposed simulation initiates communication over a quantum channel for polarized photon transmission after a pre-agreed configuration over a Classic Channel with parameters. Simulation implementation results confirm that the presence of an eavesdropper is detectable during key generation due to Heisenberg’s uncertainty and no-cloning principles. An eavesdropper has a 0.5 probability of guessing transmission qubit and 0.25 for the polarization state. During simulation re-iterations, a base-mismatch process discarded about 50 percent of the total initial key bits with an Error threshold of 0.11 percent.

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Section: Communication Phase Resultsmentioning

confidence: 87%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quantum Key Distribution: Modeling and Simulation through BB84 Protocol Using Python3

Adu-Kyere

Nigussie

Isoaho

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Quantum key distribution (QKD) is a procedure which allows the growth of keys between remote parties with guaranteed security. There are many different protocols, 1 including both discrete variable (polarisation encoded, 2 phase encoded 3,4 and entanglement-based [5][6][7] ) and continuous variable 8 examples. All discrete variable protocols encode individual bits of key information in the properties of single photons.…”

Section: Introductionmentioning

confidence: 99%