基于经验模态分解的企业等值连接共享数据加密方法

Enterprise equi-join shared data encryption method based on empirical mode decomposition

为降低网络带来的企业等值连接共享数据泄露风险,研究基于经验模态分解的企业等值连接共享数据加密方法。依据哈希算法完成企业多路数据等值连接共享;使用经验模态分解将共享数据分解成多个IMF分量;通过基于同态加密和密钥共享的企业等值连接共享数据加密方法,使用公钥对第二个至最后一个IMF分量进行同态加密;利用私钥将加密结果解密后与第一个IMF分量相加,实现企业等值连接共享数据加密。实验结果表明:等值连接响应时间均在15~25s内,发生恶意攻击时,窃取密钥和正确密钥间的相关系数始终低于0.003。

In order to reduce the risk of enterprise equi-join shared data leakage caused from the network,an enterprise equi-join shared data encryption method based on empirical mode decomposition is studied.The enterprise multi-channel data equi-join sharing is completed according to the Hash algorithm,and the shared data is decomposed into multiple IMF components by empirical mode decomposition.Through the enterprise equi-join shared data encryption method based on homomorphic encryption and key sharing,the public key is used to homomorphically encrypt the second to last IMF components,and the encryption result is decrypted by the private key and added to the first IMF component,realizing the enterprise equi-join and shared data encryption.The experiment results show that the response time of equi-join is within 15~25s.In case of malicious attack,the correlation coefficient between stolen key and correct key is always lower than 0.003.