移动医疗中一种匿名代理可追踪隐私保护方案

An Anonymous Agent Tracking Privacy Preserving Scheme in Mobile Healthcare System

针对移动医疗高峰情况下医生的服务瓶颈,提出利用医生授权代理计算医疗用户的实时隐私数据,从而减轻医生的负担和提高服务的灵活性,运用属性加密技术对医疗数据进行加密,代理属性满足授权者设置的访问策略时才能正确解密密文,获得代理签名权,从而对医疗用户提供医疗服务.该方案不仅能够缓解移动医疗高峰情况下医生的服务瓶颈,也可以解决医生因为特殊情况不在岗位的授权问题,同时可以做到对代理的工作进行回溯追踪,做到了对代理问责以及避免代理越权操作.方案利用可信授权中心进行匹配计算,降低了授权医生对医疗用户的验证计算开销,性能较以往明显提高,同时利用人数预期模型与提供计算资源预期模型,对有效参与人数和协作计算能力进行了估计,为有效缓解计算高峰时的计算瓶颈问题提供了借鉴意义.

To solve doctor’s service bottlenecks under the peak condition of mobile medical, the paper proposes utilizing authorized agents to provide service, so as to reduce the burden of doctors and enhance the flexibility of service as well. We use attribute encryption technology to encrypt medical data. The ciphertext can be decrypted correctly when the proxy attribute satisfies the policy set by the authorized user, so as to obtain proxy signature to provide medical service for medical users. The scheme not only can alleviate the burden on the mobile medical service providers in the peak of the bottleneck, but also can solve the authorization problem during the absence of doctors. At the same time, we can achieve proxy traceback to preform the agency accountability and avoid unauthorized agency audit. This scheme can be used to reduce the computing cost of authorized doctors by using trusted authorization center. The simulation results reveal that the performance can be improved significantly than other scheme. At the same time, the candidate number prediction model and the supply computational resources prediction model are proposed. They can effectively estimate the number of candidate and collaborative computing power ability, which can be used for reference to alleviate the bottleneck problem in peak computing.