Public key authenticated encryption with multiple keywords search using Mamdani system

Ma, Yang and Kazemian, Hassan (2021) Public key authenticated encryption with multiple keywords search using Mamdani system. Evolving Systems. pp. 1-13. ISSN 1868-6478

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Official URL: https://doi.org/10.1007/s12530-021-09387-0

Abstract / Description

The public cloud environment has attracted massive attackers to exploit insecure ports and access to data, services and other resources. Techniques, such as Public Key Encryption with Keyword Search (PEKS), could be deployed in cloud security to avoid accidents. PEKS allows users to search encrypted documents by a specific keyword without compromising the original data security. The first PEKS scheme was proposed in 2004, since then, PEKS has been experienced a great progress. Recently, Kazemian and Ma firstly incorporated with Fuzzy Logic technique to PEKS scheme, namely \Public Key Encryption with Multi-keywords Search using Mamdani System (m-PEMKS)", in order to support Fuzzy Keyword (i.e. \latest", \biggest") Search. However, the m-PEMKS scheme has the ability to prevent Offline Keyword Guessing Attack (OKGA) but it may suffer Inside Keyword Guessing Attack (IKGA). This paper will revisit the m-PEMKS scheme and propose a robust m-PEMKS mechanism. The proposed scheme has the properties of Ciphertext Indistinguishability, Trapdoor Indistinguishability and User Authentication which can prevent OKGA and IKGA. Besides, the proposed scheme supports both Fuzzy Keyword Search and Multiple Keywords Search and therefore, it is more practical and could be applied to the general public networks.

Item Type: Article
Uncontrolled Keywords: Public Key Encryption with Keyword Search (PEKS); Off-line Keyword Guessing Attack (OKGA); Inside Keyword Guessing Attack (IKGA); User Authentication; Fuzzy Keyword Search; Multiple Keywords Search
Subjects: 000 Computer science, information & general works > 020 Library & information sciences
500 Natural Sciences and Mathematics > 510 Mathematics
Department: School of Computing and Digital Media
Depositing User: Hassan Kazemian
Date Deposited: 28 Jun 2021 15:31
Last Modified: 28 Jun 2021 15:31
URI: http://repository.londonmet.ac.uk/id/eprint/6830

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