Dual-Server Public-Key Encryption With Keyword Search
for Secure Cloud Storage
Abstract
Searchable encryption is of increasing interest for
protecting the data privacy in secure searchablecloud storage. In this paper, we investigate the security of a well-known
cryptographic primitive, namely, public key encryption with keyword search (PEKS) which is very useful in many
applications ofcloud storage.
Unfortunately, it has been shown that the traditional PEKS framework suffers
from an inherent insecurity called inside keyword guessing
attack (KGA) launched by the malicious server. To address this security vulnerability, we propose
a new PEKS framework named dual-server PEKS (DS-PEKS). As another main
contribution, we define a new variant of the smooth projective hash functions
(SPHFs) referred to as linear and homomorphic SPHF (LH-SPHF). We then show a
generic construction of secure DS-PEKS
from LH-SPHF. To illustrate the feasibility of our new framework, we provide an
efficient instantiation of the general framework from a Decision
Diffie-Hellman-based LH-SPHF and show that it can achieve the strong security
against inside the KGA
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