Ciphertext multi-keyword grading security retrieval method

A multi-keyword and keyword technology, applied in unstructured text data retrieval, secure communication devices, computer security devices, etc., can solve problems such as hindering the development of cloud computing, hindering the efficient use of cloud data, etc., to improve the accuracy rate , the effect of enhancing security and reducing workload

Inactive Publication Date: 2018-02-16
SHANGHAI MARITIME UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In December 2016, JD.com experienced a large-scale data leak, and about 12G of user data information flowed out. These security threats not only seriously hindered the development of cloud computing, but also seriously hin

Method used

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  • Ciphertext multi-keyword grading security retrieval method
  • Ciphertext multi-keyword grading security retrieval method
  • Ciphertext multi-keyword grading security retrieval method

Examples

Experimental program
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Embodiment Construction

[0068] According to figure 1 , A detailed description of the preferred embodiments of the present invention.

[0069] Such as figure 1 As shown, the present invention provides a ciphertext multi-keyword hierarchical secure retrieval method, which includes the following steps:

[0070] Step 1. Use a homomorphic encryption algorithm to generate public and private keys: the data owner needs to upload all files in the file set to the cloud storage server, and the file set needs to be encrypted before uploading. The data owner calls KeyGen to generate the public and private key PK of the homomorphic encryption algorithm ,SK.

[0071] The KGen algorithm refers to the key generation algorithm in the homomorphic encryption scheme;

[0072] The PK refers to the public key generated by the homomorphic algorithm, and the SK refers to the private key generated by the homomorphic algorithm;

[0073] Step 2. Construct a searchable index for the file vector: the data owner extracts the keyword set ...

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Abstract

The invention discloses a ciphertext multi-keyword grading security retrieval method. A ciphertext file set and indexes uploaded by a data owner in a cloud storage server are subjected to grading retrieval. A data user sends a retrieval request to generate a trap door vector; the data owner enables the trap door vector to form a security trap door vector by using a homomorphic encryption algorithmand uploads the security trap door vector to the cloud storage server; the authorized data user can obtain a decryption key and calculate a ciphertext of a trap door and a security index inner product for the cloud storage server; an encrypted correlation score sequence is returned and is decrypted and sorted; first k file identifiers with highest correlation scores are selected to be sent to thecloud storage server; and finally most correlated files are returned to the data user through the cloud storage server. According to the method, the problem of user privacy and data security in a cloud environment is solved; the communication overhead is reduced; and the ciphertext retrieval problem is solved.

Description

Technical field [0001] The invention relates to network ciphertext retrieval, in particular to a multi-keyword hierarchical secure retrieval method for ciphertext. Background technique [0002] At present, the use of hierarchical multi-keyword homomorphic encryption technology to achieve the retrieval of the three comprehensive indicators of ciphertext in terms of security, accuracy and efficiency is the main challenge of the current ciphertext retrieval technology in the cloud environment. The new multi-keyword hierarchical retrieval method has more advantages in the retrieval of document keywords: on the one hand, multi-keyword retrieval provides refined retrieval results; on the other hand, multi-keyword retrieval solves the privacy and data of users under cloud storage The issue of security is also the basis for realizing advanced query functions. [0003] The premise of the comprehensive advantage of this method is that the cloud storage server, as a trusted third party, has ...

Claims

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Application Information

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IPC IPC(8): G06F21/62G06F17/30H04L9/00H04L9/30H04L29/06H04L29/08
CPCG06F16/31G06F16/3346G06F21/6218H04L9/008H04L9/30H04L63/0442H04L67/1097
Inventor 蒋雁梅韩德志毕坤王军田秋亭
Owner SHANGHAI MARITIME UNIVERSITY
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