Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142923
Title: Lattice-based proxy-oriented identity-based encryption with keyword search for cloud storage
Authors: Zhang, Xiaojun
Tang, Yao
Wang, Huaxiong
Xu, Chunxiang
Miao, Yinbin
Cheng, Hang
Keywords: Science::Mathematics
Issue Date: 2019
Source: Zhang, X., Tang, Y., Wang, H., Xu, C., Miao, Y., & Cheng, H. (2019). Lattice-based proxy-oriented identity-based encryption with keyword search for cloud storage. Information Sciences, 494, 193-207. doi:10.1016/j.ins.2019.04.051
Journal: Information Sciences
Abstract: Public-key encryption with keyword search (PEKS) enables users to search over encrypted data and retrieve target data efficiently. However, most of existing PEKS schemes are vulnerable to adversaries equipped with quantum computers in the near future, and even incur complex certificate management procedures due to the public key infrastructure (PKI). To this end, we propose a proxy-oriented identity-based encryption with keyword search (PO-IBEKS) scheme from lattices for cloud storage, which is post-quantum secure. In PO-IBEKS, an original data owner authorizes a proxy to encrypt sensitive data as well as corresponding keywords and upload ciphertexts to clouds, which alleviates the data processing burden on the original data owner. Besides, PO-IBEKS can resist inside keyword guessing attacks (IKGA) from misbehaved cloud servers by integrating the learning with errors (LWE) encryption and preimage sampleable function. Each entity in PO-IBEKS is identified with her/his recognizable information, thereby eliminating managing certificates. Formal security analysis proves that PO-IBEKS can achieve ciphertext indistinguishability, existential unforgeability, and delegation security. Experimental results demonstrate PO-IBEKS is much more practical when compared with existing schemes.
URI: https://hdl.handle.net/10356/142923
ISSN: 0020-0255
DOI: 10.1016/j.ins.2019.04.051
Rights: © 2019 Elsevier Inc. All rights reserved. This paper was published in Information Sciences and is made available with permission of Elsevier Inc.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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