• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.7
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• pp.3699-3719
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• 2017

Conjunctive keyword search encryption is an important technique for protecting sensitive personal health records that are outsourced to cloud servers. It has been extensively employed for cloud storage, which is a convenient storage option that saves bandwidth and economizes computing resources. However, the process of searching outsourced data may facilitate the leakage of sensitive personal information. Thus, an efficient data search approach with high security is critical. The multi-user search function is critical for personal health records (PHRs). To solve these problems, this paper proposes a novel multi-user conjunctive keyword search scheme (mNCKS) without a secure channel against keyword guessing attacks for personal health records, which is referred to as a secure channel-free mNCKS (SCF-mNCKS). The security of this scheme is demonstrated using the Decisional Bilinear Diffie-Hellman (DBDH) and Decision Linear (D-Linear) assumptions in the standard model. Comparisons are performed to demonstrate the security advantages of the SCF-mNCKS scheme and show that it has more functions than other schemes in the case of analogous efficiency.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.5
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• pp.3-13
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• 2011

In 2004, Boneh et.al. proposed a public key encryption with keyword search (PEKS) scheme which enables a server to test whether a keyword used in generating a ciphertext by a sender is identical to a keyword used in generating a query by a receiver or not. Yang et. al. proposed a probabilistic public key encryption with equality test (PEET) scheme which enables to test whether one message of ciphertext generated by one public key is identical to the other message generated by the other public key or not. If the message is replaced to a keyword, PEET is not secure against keyword guessing attacks and does not satisfy IND-CP A security which is generally considered in searchable encryption schemes. In this paper, we propose a public key encryption with equality test with designated tester (dPEET) which is secure against keyword guessing attacks and achieves IND-CPA security.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2718-2731
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• 2019

Conjunctive keyword search encryption is an important technique for protecting sensitive data that is outsourced to cloud servers. However, the process of searching outsourced data may facilitate the leakage of sensitive data. Thus, an efficient data search approach with high security is critical. To solve this problem, an efficient conjunctive keyword search scheme based on ciphertext-policy attribute-based encryption is proposed for cloud storage environment. This paper proposes an efficient mechanism for removing the secure channel and resisting off-line keyword-guessing attacks. The storage overhead and the computational complexity are regardless of the number of keywords. This scheme is proved adaptively secure based on the decisional bilinear Diffie-Hellman assumption in the standard model. Finally, the results of theoretical analysis and experimental simulation show that the proposed scheme has advantages in security, storage overhead and efficiency, and it is more suitable for practical applications.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.4
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• pp.3-10
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• 2011

To provide efficient keyword search on encrypted data, a public key encryption with keyword search (PEKS) was proposed by Boneh et al. A sender encrypts an e-mail and keywords with receiver's public key, respectively and uploads them on a server. Then a receiver generates a trapdoor of w with his secret key to search an e-mail related with some keyword w. However, Byun et al. showed that PEKS and some related schemes are not secure against keyword guessing attacks. In this paper, we propose a public key encryption with keyword search for restricted testability (PEKS-RT) scheme and show that our scheme is secure against keyword guessing attacks.