SOA Based BB84 Protocol for Enhancing Quantum Key Distribution in Cloud Environment

Quantum Key Distribution (QKD) systems are thought to be the best method for securing data in cloud storage and boosting security and privacy. Due to the increasing use of cloud services, ensuring the confidentiality of stored data in cloud storage, data exchange, and key sharing used to encrypt dat...

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Veröffentlicht in:	Wireless personal communications Jg. 130; H. 3; S. 1759 - 1793
Hauptverfasser:	Sehgal, Shravan Kumar, Gupta, Rashmi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2023 Springer Nature B.V
Schlagworte:	Access control Algorithms Cloud computing Communication Communications Engineering Computer Communication Networks Cryptography Data encryption Data exchange Data storage Digital signatures Encryption Engineering Error correction Internet Networks Optimization Quantum cryptography Signal,Image and Speech Processing Smart houses Software Wireless networks BB84 QKD Sailfish optimization algorithm IBB84 Hybrid AES-RC4 encryption algorithm
ISSN:	0929-6212, 1572-834X
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Abstract	Quantum Key Distribution (QKD) systems are thought to be the best method for securing data in cloud storage and boosting security and privacy. Due to the increasing use of cloud services, ensuring the confidentiality of stored data in cloud storage, data exchange, and key sharing used to encrypt data has become a major concern in recent years. The error key may occur during key generation. Through this error key, Eve can easily know the knowledge of the shared key. Enhanced error correction algorithms are utilized to discover and eliminate mistake bits while transmission, ensuring that both keys are equal and producing their shared error-free secret key. Hence, this study improves a BB84 protocol by improving its bit size at the compatibility level using the Sailfish Optimization Algorithm (SOA), and together with the transmitter, as well as the receiver, create a raw key in the next state. QKD is developed from improved BB84 protocol and encrypts data using a hybrid AES-RC4 encryption algorithm. The improved BB84 protocol generates the quantum key distribution, which encrypts data using a hybrid encryption algorithm. Here, error correction is done through the multi-objective function which is optimized using the Sailfish optimization technique, resulting in outcomes through adding either estimate mistake or a best key combination. After encryption, if the data is uploaded to the cloud, only the authorized user can decode the data. Moreover, in a Python environment, the proposed method is implemented, and the proposed model's accuracy rate is 97 per cent, with a 3 per cent error rate and 59 s for key generation time. As a result, the proposed SOA-based QKD swift key generation system outperforms existing methods.
AbstractList	Quantum Key Distribution (QKD) systems are thought to be the best method for securing data in cloud storage and boosting security and privacy. Due to the increasing use of cloud services, ensuring the confidentiality of stored data in cloud storage, data exchange, and key sharing used to encrypt data has become a major concern in recent years. The error key may occur during key generation. Through this error key, Eve can easily know the knowledge of the shared key. Enhanced error correction algorithms are utilized to discover and eliminate mistake bits while transmission, ensuring that both keys are equal and producing their shared error-free secret key. Hence, this study improves a BB84 protocol by improving its bit size at the compatibility level using the Sailfish Optimization Algorithm (SOA), and together with the transmitter, as well as the receiver, create a raw key in the next state. QKD is developed from improved BB84 protocol and encrypts data using a hybrid AES-RC4 encryption algorithm. The improved BB84 protocol generates the quantum key distribution, which encrypts data using a hybrid encryption algorithm. Here, error correction is done through the multi-objective function which is optimized using the Sailfish optimization technique, resulting in outcomes through adding either estimate mistake or a best key combination. After encryption, if the data is uploaded to the cloud, only the authorized user can decode the data. Moreover, in a Python environment, the proposed method is implemented, and the proposed model's accuracy rate is 97 per cent, with a 3 per cent error rate and 59 s for key generation time. As a result, the proposed SOA-based QKD swift key generation system outperforms existing methods. Quantum Key Distribution (QKD) systems are thought to be the best method for securing data in cloud storage and boosting security and privacy. Due to the increasing use of cloud services, ensuring the confidentiality of stored data in cloud storage, data exchange, and key sharing used to encrypt data has become a major concern in recent years. The error key may occur during key generation. Through this error key, Eve can easily know the knowledge of the shared key. Enhanced error correction algorithms are utilized to discover and eliminate mistake bits while transmission, ensuring that both keys are equal and producing their shared error-free secret key. Hence, this study improves a BB84 protocol by improving its bit size at the compatibility level using the Sailfish Optimization Algorithm (SOA), and together with the transmitter, as well as the receiver, create a raw key in the next state. QKD is developed from improved BB84 protocol and encrypts data using a hybrid AES-RC4 encryption algorithm. The improved BB84 protocol generates the quantum key distribution, which encrypts data using a hybrid encryption algorithm. Here, error correction is done through the multi-objective function which is optimized using the Sailfish optimization technique, resulting in outcomes through adding either estimate mistake or a best key combination. After encryption, if the data is uploaded to the cloud, only the authorized user can decode the data. Moreover, in a Python environment, the proposed method is implemented, and the proposed model's accuracy rate is 97 per cent, with a 3 per cent error rate and 59 s for key generation time. As a result, the proposed SOA-based QKD swift key generation system outperforms existing methods.
Author	Sehgal, Shravan Kumar Gupta, Rashmi
Author_xml	– sequence: 1 givenname: Shravan Kumar surname: Sehgal fullname: Sehgal, Shravan Kumar email: sehgalshravan733@gmail.com organization: Guru Gobind Singh Indraprastha University (GGSIPU), Department of Electronics and Communication Engineering, NSUT(formerly AIACTR) – sequence: 2 givenname: Rashmi surname: Gupta fullname: Gupta, Rashmi organization: Department of Electronics and Communication Engineering, NSUT(formerly AIACTR), Department of Electronics and Communication Engineering, Netaji Subhas University of Technology
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Copyright	The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
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Snippet	Quantum Key Distribution (QKD) systems are thought to be the best method for securing data in cloud storage and boosting security and privacy. Due to the...
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SubjectTerms	Access control Algorithms Cloud computing Communication Communications Engineering Computer Communication Networks Cryptography Data encryption Data exchange Data storage Digital signatures Encryption Engineering Error correction Internet Networks Optimization Quantum cryptography Signal,Image and Speech Processing Smart houses Software Wireless networks
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Title	SOA Based BB84 Protocol for Enhancing Quantum Key Distribution in Cloud Environment
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