首页> 外国专利> LIGHTWEIGHT ATTRIBUTE-BASED SIGNCRYPTION METHOD FOR CLOUD AND FOG-ASSISTED INTERNET OF THINGS

LIGHTWEIGHT ATTRIBUTE-BASED SIGNCRYPTION METHOD FOR CLOUD AND FOG-ASSISTED INTERNET OF THINGS

机译:基于轻量级的属性的云和雾辅助互联网签名方法

摘要

The present invention relates to the field of attribute-based encryption, and disclosed is a multi-attribute mechanism attribute-based encryption method having a search function and used for a cloud-assisted Internet of Things. The technical problem to be solved is: how to provide a lightweight decryption and searchable attribute-based encryption solution. The method comprises: generate a first secret key pair by means of system initialization, generate a second secret key pair by means of initialization of an attribute mechanism, and generate a third secret key pair by means of cloud initialization; a data owner symmetrically encrypts a plaintext and a symmetric secret key to generate a first ciphertext, perform attribute encryption on a symmetric secret key seed to generate a second ciphertext, and generate an index set according to keywords; a central mechanism generates an identity secret key and a search secret key for a data user; the data user generates an outsourcing decryption secret key, an authorization decryption secret key and a trap door, and sends the outsourcing decryption secret key, the authorization decryption secret key and the trap door to a cloud storage center for searching and semi-decrypting the second ciphertext; and the data user decrypts the semi-decrypted ciphertext to obtain a symmetric secret key seed and then generate a symmetric secret key, and symmetrically decrypts the first ciphertext to obtain plaintext data.
机译:本发明涉及基于属性的加密领域,并且公开了一种基于多属性机制属性的加密方法,其具有搜索功能,并用于云辅助的物体。要解决的技术问题是:如何提供轻量级解密和基于可搜索的基于属性的加密解决方案。该方法包括:通过系统初始化生成第一秘密密钥对,通过属性机制的初始化生成第二密钥对,并通过云初始化生成第三密钥对;数据所有者对称加密明文和对称密钥以生成第一个密文,在对称密钥种子上执行属性加密以生成第二密文,并根据关键字生成索引集;中央机制为数据用户生成一个身份密钥和搜索密钥;数据用户生成外包解密密钥,授权解密密钥和陷阱门,并将外包解密密钥,授权解密密钥和陷阱门发送到云存储中心以搜索和半解密第二个密文;并且数据用户解密半解密的密文以获得对称密钥种子,然后生成对称密钥,并对对称解密第一密文来获得明文数据。

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