摘要
为了保护云平台用户的隐私,防止服务器第三方获知用户信息,文章提出了一种基于异步拼写检查的云端密文检索方案EFCS(Efficient Fuzzy Cipher Search)。该方案基于异步拼写检查,采用spell checker、文件过滤、分级推送和动态词库等技术实现云平台上的密文检索。与已有的基于通配符的模糊密文检索方案进行性能对比,EFCS能在保证相同安全性能的前提下,具有较低的存储开销、通信开销和解密计算代价。
In order to protect the privacy of cloud server users and prevent the third party server from getting users' information, this paper proposes a cloud ciphertext retrieval scheme EFCS (Efficient Fuzzy Cipher Search). The scheme is based on asynchronous spell check, uses the spell checker, file filter, grading push and dynamic word library technical to implement the cipher text retrieval of cloud platforms. Comparing with the existing fuzzy cipher text retrieval methods based on the wildcard, EFCS can reduce the storage cost, communication overhead and decryption computation cost under the premise of the same safety performance.
出处
《信息网络安全》
2013年第9期26-29,共4页
Netinfo Security
基金
金属矿山安全技术国家重点实验室开放基金[2012KFJJ02]
湖南省科技计划重点项目[2011GK2008]
关键词
密文检索
模糊搜索
云计算
拼写检查
ciphertext retrieval
fuzzy search
cloud computing
spell check