CRSHE:基于同态加密的新型密文检索方案

CRSHE:A novel ciphertext retrieval scheme based on homomorphic encryption

针对文本密文存储与检索需求,提出一个检索与共享功能分离的云存储模型,在此基础上设计了一种同态加密算法,并给出一种新型同态密文检索方案CRSHE。可有效解决检索关键词隐私泄漏、不支持同态加密等问题,通过排序反映文档与关键词之间的相关程度,在多关键词检索时极大地提升检索性能。测试实验表明,该方案比线性密文检索方案效率高,具有较高的准确性。

Aiming at the storage and retrieval requirements of ciphertext,we propose a new cloud storage model with separate retrieval and sharing functions.We first design a homomorphic encryption algorithm and propose a novel ciphertext retrieval scheme,namely CRSHE based on the model.It solves the problem of keywords privacy leakage and provides support for homomorphic encryption.The retrieval results can be sorted to reflect the correlation degree between documents and keywords,which greatly improves the retrieval performance in multi-keyword retrieval.Experimental results show that the scheme is more efficient and accurate than the traditional linear ciphertext retrieval scheme.