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A study on preserving privacy of Internet of Vehicles (IOV) data in cloud infrastructure using homomorphic encryption

Atauba, Victoria Mfon (2022) A study on preserving privacy of Internet of Vehicles (IOV) data in cloud infrastructure using homomorphic encryption. Masters thesis, Dublin, National College of Ireland.

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Abstract

IOV provides a paradigm that aid the development of heterogeneous and distributed vehicular systems, in which the processing and storage of large volumes of data has led to the adoption of cloud computing services. Cloud computing offers advanced technological services such as secure storage of data stored in the cloud and on-demand access to data and resources. The sophisticated structure of cloud-IoV environments creates a serious concern about data utility at the expense of privacy. While today's state-of-the-art encryption systems preserve users' privacy, they also make it impossible to do meaningful calculations on encrypted data. The potential of homomorphic encryption is that it allows encrypted data to be sent to the cloud, which can subsequently be computed without having to know the secret key. Therefore, this research addresses the privacy concerns associated with IOV data stored in cloud by proposing the use of Homomorphic Encryption. In addition, digital signature is employed to add additional security layer to ensure data confidentiality, integrity, and authentication.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Homomorphic encryption; cloud computing; Internet of Vehicles (IOV)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Cloud computing
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: Clara Chan
Date Deposited: 24 Nov 2022 17:37
Last Modified: 24 Nov 2022 17:38
URI: https://norma.ncirl.ie/id/eprint/5930

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