基于非确定有限自动机的隐私保护医疗系统
Privacy-preserving Medical Treatment System through Nondeterministic Finite Automata
摘要：
在本文中，我们提出了一个隐私保护的医疗系统，使用非确定性有限自动机（NFA），以下简称为P-Med，专为远程医疗环境。P-Med利用NFA的非确定性转换特性，灵活地表示医学模型，包括疾病状态、治疗方法以及应用不同治疗方法引起的状态转换。医疗模型被加密并外包到云端以提供远程医疗服务。使用P-Med，可以即时进行以患者为中心的诊断和治疗，同时保护患者病情和治疗建议结果的机密性。此外，在P-Med中给出了一种新的隐私保护NFA评估方法，使加密NFA和加密数据集的评估结果具有保密性，避免了繁琐的内部状态转移判定。我们证明了P-Med实现了治疗程序的建议，而不会向未经授权的各方泄露隐私。我们进行了大量的实验和分析，以评估效率。
英文摘要：
In this paper, we propose a privacy-preserving medical treatment system using nondeterministic finite automata (NFA), hereafter referred to as P-Med, designed for the remote medical environment. P-Med makes use of the nondeterministic transition characteristic of NFA to flexibly represent the medical model, which includes illness states, treatment methods and state transitions caused by exerting different treatment methods. A medical model is encrypted and outsourced to the cloud to deliver telemedicine services. Using P-Med, patient-centric diagnosis and treatment can be made on-the-fly while protecting the confidentiality of a patient's illness states and treatment recommendation results. Moreover, a new privacy-preserving NFA evaluation method is given in P-Med to get a confidential match result for the evaluation of an encrypted NFA and an encrypted data set, which avoids the cumbersome inner state transition determination. We demonstrate that P-Med realizes treatment procedure recommendation without privacy leakage to unauthorized parties. We conduct extensive experiments and analyses to evaluate efficiency.
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