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An Efficient Queries Processing Model Based on Multi Broadcast Searchable Keywords Encryption (MBSKE)

Al-Maytami, B, Fan, P, Hussain, A, Baker, T and Liatsis, P (2019) An Efficient Queries Processing Model Based on Multi Broadcast Searchable Keywords Encryption (MBSKE). Ad Hoc Networks, 19. ISSN 1570-8705

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Cloud computing is a technology which has enabled many organizations to outsource their data in an encrypted form to improve processing times. The public Internet was not initially designed to handle massive quantities of data flowing through millions of networks. So the rapid increase of broadcast users and the growth of the amount broadcasted information leads to slow sending quires and receiving encrypted data from the cloud. In order to solve this problem Next Generation Internet (NGI) is developed with high speed, while keeping the privacy of data. This research proposes a novel search algorithm called Multi-broadcast Searchable Keywords Encryption, which processes queries having a set of keywords. This set of keywords is sent from the users to the cloud server in an encrypted form, thus hiding all information about the user or the content of the queries from the cloud server. The proposed method uses caching algorithm and provide an improvement of 40% in terms of runtime and trapdoor. In addition, the method minimizes computational costs, complexity, and maximizes throughput, in the cloud environment, whilst maintaining privacy and confidentiality of both the user and the cloud. The cloud returns encrypted query results to the user, where data is decrypted using the users’ private keys.

Item Type: Article
Uncontrolled Keywords: 1005 Communications Technologies, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: Computer Science & Mathematics
Publisher: Elsevier
Date Deposited: 22 Oct 2019 09:48
Last Modified: 04 Sep 2021 08:38
DOI or ID number: 10.1016/j.adhoc.2019.102028
URI: https://researchonline.ljmu.ac.uk/id/eprint/11594
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