云存储中加密数据的自适应重复删除方法

为了保护个人隐私，用户倾向于在数据上传至云服务器之前将其加密. 相同的明文数据被加密成不同密文数据，使云服务器无法识别出重复的加密数据. 现存的解决方案多数倚赖可信第三方，且没有划分数据流行度，导致安全性与执行效率较低. 提出一种无需可信第三方的自适应重复删除方法.利用完美散列函数检查数据的流行度，使用口令认证密钥交换协议与同态加密安全传递数据的加密密钥，在保证用户数据隐私的前提下进行安全的重复数据删除. 与现有其它方案相比，安全性与实用性更强. 实验和仿真证明了方案的高效性.

An Adaptive Deduplication Method for Encrypted Data in Cloud Storage

In order to protect personal privacy, users tend to encrypt their data before uploading them to the cloud. With different keys, the same data may have different ciphertexts. This will make it difficult for the cloud server to perform deduplication. Most of the existing solutions relied on the trusted third parties. These schemes did not distinguish between the popularity of the data, which resulted in lower security and implementation efficiency. An adaptive data deduplication scheme. Data popularity is defined, and it is measured using Perfect Hash Function. The Password Authentication Key Exchange Protocol and homomorphic encryption are adopted for encryption key delivery. Secure data deduplication is achieved while preserving the data privacy. By comparing with the other schemes, this scheme is more secure and more applicable. The experiments and simulations show that proposed scheme is secure and efficient.