Abstract
Healthcare cyber-physical system significantly facilitates healthcare services and patient treatment effectiveness by analyzing patients’ health information data conveniently. Nevertheless, it also develops the threats to the confidentiality of health information, patients’ privacy, and decidability of medical disputes. And, with the advances of quantum computing technology, most existing anonymous authentication schemes are becoming a growing threat to traditional cryptosystems. To address these problems, for healthcare cyber-physical systems, we propose a new lattice-based self-enhancement authorized accessible privacy authentication scheme by using a strong designated verifier double-authentication-preventing signature technique, called SEAPA. The SEAPA achieves three security and privacy requirements including unforgeability, anonymity for patients’ information, and self-enhancement for patients themselves. A detailed security proof shows our proposal achieves those required security goals. Finally, our construction is demonstrated by parameter analysis and performance evaluation to have reasonable efficiency.
Highlights
Cyber-physical system is an integration of computational resources, physical processes, and communication capabilities, which is a multidimensional complex system combined by sensors, embedded devices, and wireless links. e advances in medical sensors, cloud computing, Internet of things, and wireless sensor networks (WSN) have witnessed CPS a powerful candidate for healthcare applications [1,2,3,4,5,6]
We present a new deterrable digital signature, which is proven secure under a standard assumption on lattice, and based on it, we realize a practical construction of designated verifier doubleauthentication-preventing signature (DVDAPS) in SEAPA. e major contributions of the paper are three-fold
We provide a self-enhancement privacypreserving authentication scheme based on a SDVDAPS to satisfy three security and privacy requirements in healthcare cyber-physical systems
Summary
Cyber-physical system is an integration of computational resources, physical processes, and communication capabilities, which is a multidimensional complex system combined by sensors, embedded devices, and wireless links. e advances in medical sensors, cloud computing, Internet of things, and wireless sensor networks (WSN) have witnessed CPS a powerful candidate for healthcare applications [1,2,3,4,5,6]. In a general HCPS system model, there occur components, including the medical sensor node of the patient, data sink which can collect patient’s privacy information, and healthcare centers which have different hospitals, databases, and doctors. One is that the hardness of some average-case lattice hard problems is equivalent to that of NP hard problem; the other is that lattice-based signatures have high efficiency, because it is based on operations between matrix additions and multiplications To realize these issues above, a novel privacy-preserving model for HCPS is established to allow patients to authorize privileges to different kinds of physicians located in the healthcare centers. Security proof and performance evaluation show that our scheme has reasonable efficiency for real applications
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