SECURING CLOUD DATA BY MULTI KEY AUTHENTICATION
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2019-07-04T11:31:33Z
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Abstract
Searchable encryption is of increasing interest for protecting the data privacy in
secure searchable cloud 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 of cloud 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 (SECURING
CLOUD DATA BY MULTI-KEY AUTHENTICATION). 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
SECURING CLOUD DATA BY MULTI-KEY AUTHENTICATION 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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1NZ17MCA74