JOURNAL ARTICLE

Constructing pairing-free certificateless public key encryption with keyword search

Yang LuJiguo Li

Year: 2019 Journal:   Frontiers of Information Technology & Electronic Engineering Vol: 20 (8)Pages: 1049-1060   Publisher: Springer Science+Business Media

Abstract

Searchable public key encryption enables a storage server to retrieve the publicly encrypted data without revealing the original data contents. It offers a perfect cryptographic solution to encrypted data retrieval in encrypted data storage systems. Certificateless cryptography (CLC) is a novel cryptographic primitive that has many merits. It overcomes the key escrow problem in identity-based cryptosystems and the cumbersome certificate problem in conventional public key cryptosystems. Motivated by the appealing features of CLC, three certificateless encryption with keyword search (CLEKS) schemes were presented in the literature. However, all of them were constructed with the costly bilinear pairing and thus are not suitable for the devices that have limited computing resources and battery power. So, it is interesting and worthwhile to design a CLEKS scheme without using bilinear pairing. In this study, we put forward a pairing-free CLEKS scheme that does not exploit bilinear pairing. We strictly prove that the scheme achieves keyword ciphertext indistinguishability against adaptive chosen-keyword attacks under the complexity assumption of the computational Diffie-Hellman problem in the random oracle model. Efficiency comparison and the simulation show that it enjoys better performance than the previous pairing-based CLEKS schemes. In addition, we briefly introduce three extensions of the proposed CLEKS scheme.

Keywords:
Key escrow Computer science Random oracle Encryption Public-key cryptography Ciphertext Theoretical computer science Cryptosystem Cryptography Cryptographic primitive Key (lock) Pairing Computer security Cryptographic protocol

Metrics

24
Cited By
2.00
FWCI (Field Weighted Citation Impact)
41
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cryptography and Data Security
Physical Sciences →  Computer Science →  Artificial Intelligence
Complexity and Algorithms in Graphs
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Cryptographic Implementations and Security
Physical Sciences →  Computer Science →  Artificial Intelligence

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