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Secured: quantum key distribution (SQKD) for solving side-channel attack to enhance security, based on shifting and binary conversion for securing data (SBSD) frameworks.

Authors :
Gopinath, N.
Shyry, S. Prayla
Source :
Soft Computing - A Fusion of Foundations, Methodologies & Applications. Sep2023, Vol. 27 Issue 18, p13365-13372. 8p.
Publication Year :
2023

Abstract

Quantum key distribution (QKD) is an effective technique to share unconditional secure keys among a pair of legal distant users with the existence of eavesdroppers. It depends upon quantum mechanics that exhibits the probability for an eavesdropper to acquire full information on the key is forbidden by the laws of physics. Though quantum mechanics assure the security of the QKD system, it is critical to inspect whether the imperfections can result in the revelation of sensitive data. The presence of imperfections can result in side-channel attacks and the ones relevant to single-photon detectors are crucial as it is adopted in several QKD approaches. For resolving these issues, this study develops a new Security in Quantum side Channel (SQSC) framework to accomplish security. The proposed SQSC approach involves the design of Shifting and Binary Conversions (SBC) algorithm with two sub-processes namely shifting process and binary conversion. Since none of the works have been developed quantum channel in the current system to secure data, the proposed model added complexity to the secret data (shifting process and binary conversion using SBC) before q-bit conversion. The design of SBC algorithm to resolve side-channel attacks and accomplish improved security shows the novelty of the work. In order to demonstrate the enhanced performance of the SQSC approach, a comparison study with existing model is performed. The experimental results reported the promising performance of the SQSC approach over the other existing methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14327643
Volume :
27
Issue :
18
Database :
Academic Search Index
Journal :
Soft Computing - A Fusion of Foundations, Methodologies & Applications
Publication Type :
Academic Journal
Accession number :
167308094
Full Text :
https://doi.org/10.1007/s00500-022-07479-w