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基于字典的压缩加密查询方案研究

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RDF(资源描述框架,Resource Description Framework)压缩方案可以有效压缩庞大的RDF数据集,RDF加密方案可以有效提高数据的安全性。结合这两种方案,该文提出了一种基于字典的压缩加密查询方案。首先,通过原始的RDF数据集构建字典集,实现数据的压缩;然后,通过字典集生成密文ID三元组,实现数据的加密。将字典集存放在可信区域,密文ID三元组存储在不可信区域。查询时,首先通过字典集将查询语句中的关键词转换成对应的密文关键词,然后在密文ID三元组上查询与密文关键词相关的数据,将得到的密文数据传送至可信区域,在可信区域进行解密和解压缩操作,得到最终的明文数据。该方案将查询操作与解密解压缩操作分开,查询只在不可信区域操作,解密解压缩则在可信区域操作,从而进一步提高数据的安全性。最后,在5 个数据集上与其他RDF加密方案进行了对比实验,实验结果证明了该压缩加密查询方案在查询性能上有一定的提升,验证了该方案是可行的和有效的。
Research on Dictionary Based Compression Encryption Query Scheme
The RDF(Resource Description Framework)compression scheme effectively compresses large RDF datasets,and the RDF en-cryption scheme enhances data security.Combined these two approaches,we propose a dictionary-based compression and encryption query scheme.In this scheme,a dictionary set is constructed by the original RDF dataset for data compression.Then,using the dictionary set,ciphertext ID triplets are generated to achieve data encryption.The dictionary set is stored in a trusted zone,while the ciphertext ID triplets are stored in an untrusted zone.During querying,the keywords in the query statement are first transformed into corresponding ci-phertext keywords using the dictionary set.Then,a query is performed on the ciphertext ID triplets to retrieve data related to the ciphertext keywords.The obtained ciphertext data is transferred to the trusted zone,where decryption and decompression operations are performed to obtain the final plaintext data.By separating the query operations from the decryption and decompression operations,the proposed scheme enhances data security.The querying is conducted only in the untrusted zone,while decryption and decompression are performed in the trusted zone.Finally,a comparison experiment with other RDF encryption schemes is carried out on 5 data sets,and it is proved that the proposed compressed encryption query scheme has a certain improvement in query performance,and verifies that it is feasible and effective.

RDF compressionRDF encryptiondictionaryencrypted queryresource description framework

田萍芳、郭万涛

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武汉科技大学 计算机科学与技术学院,湖北 武汉 430065

武汉科技大学 智能信息处理与实时工业系统湖北省重点实验室,湖北 武汉 430065

RDF压缩 RDF加密 字典 加密查询 资源描述框架

国家社会科学基金重大项目

11&ZD189

2024

计算机技术与发展
陕西省计算机学会

计算机技术与发展

CSTPCD
影响因子:0.621
ISSN:1673-629X
年,卷(期):2024.34(2)
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