医疗社交网络中基于云计算的属性基签密方案

移动医疗社交网络的出现为患者之间互相交流病情提供了极大的便利，促进了患者之间高效、高质量的沟通与交流，但与此同时也产生了患者数据的保密性和隐私性问题。针对此问题，该文提出一种基于云计算的属性基签密方案，能够有效地保护患者数据的隐私性。患者将自己的病情信息签密后上传至云服务器，当数据用户要访问患者的信息时，云服务器帮助数据用户进行部分解密并验证数据的完整性，这在一定程度上减少了数据用户的计算量。同时，在随机预言机模型下，证明了该方案满足选择消息攻击下的不可伪造性、选择密文攻击下的不可区分性以及属性隐私安全性。理论分析和数值模拟实验结果表明，该方案在签密和解签密阶段比现存的方案有更高的效率。

Attribute-Base Signcryption Scheme Based on Cloud Computing in Mobile Medical Social Network

The emergence of mobile medical social networks has greatly facilitated the communication of patients' conditions to each other, promoting efficient and high-quality communication and exchange between patients. However, it also causes problems of confidentiality and privacy of patient data. To solve this problem, an attribute-based signcryption scheme based on cloud-assisted verification is proposed, which can effectively protect the privacy of patient data. Patients signcrypt their health information and upload it to the cloud server. When the data user wants to access the patient's information, the cloud server helps the data user partially decrypt and verify the integrity of the data, which reduces the amount of calculation of the data user to a certain extent. At the same time, under the random oracle model, it is proved that the scheme satisfies the unforgeability under the adaptive selection message, the indistinguishability under the adaptive selection ciphertext attack, and the attribute privacy security. Theoretical analysis and numerical simulation experimental results show that the scheme is more efficient than the existing schemes in the signcryption and unsigncryption phases.