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Big-data dynamic memory integrity verification method based on lattice

A technology of integrity verification and dynamic storage, which is applied in the field of data security and can solve the problems of losing local supervision and control of data

Inactive Publication Date: 2014-05-07
SUZHOU INST FOR ADVANCED STUDY USTC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, since users have entrusted their data to cloud service providers and lost local regulatory control over the data, they are facing many challenges

Method used

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  • Big-data dynamic memory integrity verification method based on lattice
  • Big-data dynamic memory integrity verification method based on lattice
  • Big-data dynamic memory integrity verification method based on lattice

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Embodiment

[0034] The high-efficiency big data dynamic storage integrity verification method designed based on the grid difficulty problem in this embodiment can verify the integrity of the big data dynamic storage. The specific steps are as follows:

[0035] (1) Firstly, establish an efficient large data dynamic storage integrity verification system designed based on the grid difficulty problem. The server side adopts the cloud server side: assuming that the security parameter of the client initialization verification system is n. The client uses the classic TrapGen algorithm to generate matrices A and B, where Indicates the orthogonalization of B, where B is the user's private key. The user-selectable parameters are as follows: prime number q≥3, m≥5nlogq, and a random matrix ? and the corresponding trapdoor and satisfy The system public parameter P=(q, m, L, s, A), and the user's private key is B. Where A is the public key, and in the public-private key pair (pk, sk), pk=A;...

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Abstract

The invention discloses a big-data dynamic memory integrity verification method based on a lattice. The big-data dynamic memory integrity verification method based on the lattice solves the problem that it is difficult for a quantum computer to crack lattice difficulty, high safety is achieved, dynamic change of data is supported, and operation efficiency is high. In order to support the dynamic feature of big data, the Merkle hash tree technology is adopted, and the privacy data of a computing platform can be effectively protected at the same time. In this way, the big-data dynamic memory integrity verification method based on the lattice can be widely applied to scenes relevant to the dynamic integrity verification of the big data.

Description

technical field [0001] The invention belongs to the technical field of data security, and in particular relates to a lattice-based method for verifying the integrity of dynamic storage of large data. Background technique [0002] With the rapid development of cloud computing, more and more data are stored in cloud servers. As a new type of storage service, cloud storage has the characteristics of high scalability, high reliability, low price, and access anytime and anywhere, providing a new model for massive data storage management. However, since users have entrusted their data to cloud service providers and lost local regulatory control over the data, they are facing many challenges. Among all the security issues faced, the integrity verification of the dynamic storage of big data stored by users on outsourced servers is a fundamental issue. The solution to this problem requires the use of secure protocols for verifying the integrity of data in motion stored on remote se...

Claims

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Application Information

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IPC IPC(8): G06F21/64
CPCG06F21/64
Inventor 黄刘生李雪晓田苗苗杨威
Owner SUZHOU INST FOR ADVANCED STUDY USTC
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