Internet of things assisted public security management platform for urban transportation using hybridised cryptographic‐integrated steganography

Bi, Dexu, Kadry, Seifedine and Kumar, Priyan Malarvizhi ORCID: https://orcid.org/0000-0001-6149-2705 (2020) Internet of things assisted public security management platform for urban transportation using hybridised cryptographic‐integrated steganography. IET Intelligent Transport Systems, 14 (11) . pp. 1497-1506. ISSN 1751-956X [Article] (doi:10.1049/iet-its.2019.0833)

Abstract

In cloud computing, data sharing and security are considered as the significant challenging issues in the present era. Until recently, considering secure data sharing in the cloud, several problems have been taken into consideration, such as data security, privacy, data integrity, confidentiality and resource scheduling. In this study, the hybridised cryptographic‐integrated steganography (HCIS) algorithm has been used with auxiliary data inputs for secured data sharing in an internet of things assisted cloud environment for the urban transportation system. Further, the cryptography or cryptology generates code that provides a high level of privacy to the group or individual who can access cloud data. Furthermore, cryptography converts data into a secure format that is readable by an authorised user and steganography helps to transmit secret data to avoid the detection of information. The confidential data is extracted at its destination, and the encryption key has been utilised for hiding or effectively protecting data. The experimental results show that efficient and secure data sharing with multi‐owners in cloud computing has been achieved using the HCIS method.

Item Type: Article
Keywords (uncontrolled): Mechanical Engineering, Law, General Environmental Science, Transportation
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 31877
Useful Links:
Depositing User: Jisc Publications Router
Date Deposited: 15 Apr 2021 11:04
Last Modified: 15 Apr 2021 11:04
URI: https://eprints.mdx.ac.uk/id/eprint/31877

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