A Secured Certificateless Sign-encrypted Blockchain Communication for Intelligent Transport System

Patan, R; Parizi, RM; Pouriyeh, S; Khan, MS; Gandomi, AH

A Secured Certificateless Sign-encrypted Blockchain Communication for Intelligent Transport System

Patan, R Parizi, RM Pouriyeh, S Khan, MS Gandomi, AH

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: 2022 IEEE Conference on Communications and Network Security, CNS 2022, 2022, 00, pp. 1-7
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Patan, R
dc.contributor.author	Parizi, RM
dc.contributor.author	Pouriyeh, S
dc.contributor.author	Khan, MS
dc.contributor.author	Gandomi, AH
dc.date	2022-10-03
dc.date.accessioned	2023-04-13T05:14:42Z
dc.date.available	2023-04-13T05:14:42Z
dc.date.issued	2022-01-01
dc.identifier.citation	2022 IEEE Conference on Communications and Network Security, CNS 2022, 2022, 00, pp. 1-7
dc.identifier.isbn	9781665462556
dc.identifier.uri	http://hdl.handle.net/10453/169775
dc.description.abstract	Data communication in the intelligent transport system suffers from many security vulnerabilities. It is essential to protect the vehicles from the distribution of fake messages and concurrently preserve the privacy of those vehicles against tracking attacks. Conventional security methods are not sufficient to provide well-needed security support. In this paper, an efficient technique called Gentle Boost Clustered Diffie-Hellman Certificateless Signcryption-based Blockchain Security Frame-work (GeBlock) is proposed to improve communication security. Initially, the vehicle's information is collected from the dataset. Then, the collected vehicle data are grouped and given to the data block in the underlying Blockchain. The Gaussian expected maximization clustering is a weak learner for grouping each vehicle's data. This process minimizes the processing time for secure data-sharing in the intelligent transport system. After that, the Diffie-Hellman Certificateless Signcryption is performed to protect the data from unauthorized entities. Diffie-Hellman Certificateless Signcryption performs the encryption and digital signature verification process where only an authorized entity can access the vehicle data. In the encryption process, the clustered vehicle data is converted into ciphertext. The digital signature verification is performed on the receiver side to decrypt the ciphertext into the plain text. The confidentiality rate is improved in data communication based on signature verification. Experimental evaluation is performed using Warrigal Dataset, and the different parameters such as clustering accuracy, data confidentiality rate, and processing time are measured.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	2022 IEEE Conference on Communications and Network Security, CNS 2022
dc.relation.ispartof	2022 IEEE Conference on Communications and Network Security (CNS)
dc.relation.isbasedon	10.1109/CNS56114.2022.9947225
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	A Secured Certificateless Sign-encrypted Blockchain Communication for Intelligent Transport System
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2024-11-18T00:00:00+1000Z
dc.date.updated	2023-04-13T05:14:40Z
pubs.finish-date	2022-10-05
pubs.publication-status	Published
pubs.start-date	2022-10-03
pubs.volume	00

Abstract:

Data communication in the intelligent transport system suffers from many security vulnerabilities. It is essential to protect the vehicles from the distribution of fake messages and concurrently preserve the privacy of those vehicles against tracking attacks. Conventional security methods are not sufficient to provide well-needed security support. In this paper, an efficient technique called Gentle Boost Clustered Diffie-Hellman Certificateless Signcryption-based Blockchain Security Frame-work (GeBlock) is proposed to improve communication security. Initially, the vehicle's information is collected from the dataset. Then, the collected vehicle data are grouped and given to the data block in the underlying Blockchain. The Gaussian expected maximization clustering is a weak learner for grouping each vehicle's data. This process minimizes the processing time for secure data-sharing in the intelligent transport system. After that, the Diffie-Hellman Certificateless Signcryption is performed to protect the data from unauthorized entities. Diffie-Hellman Certificateless Signcryption performs the encryption and digital signature verification process where only an authorized entity can access the vehicle data. In the encryption process, the clustered vehicle data is converted into ciphertext. The digital signature verification is performed on the receiver side to decrypt the ciphertext into the plain text. The confidentiality rate is improved in data communication based on signature verification. Experimental evaluation is performed using Warrigal Dataset, and the different parameters such as clustering accuracy, data confidentiality rate, and processing time are measured.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/169775