# SMS: A Secure Healthcare Model for Smart Cities
## 3 Related Works  
The popularity and widespread scope of the IoT technology has attracted several researches in this area in the past decade. The authors in [22] discussed the critical security provisions in \"Sensor Network (BSN)\"-based state-of-art healthcare ecosystems and presented a secured healthcare model. The researchers in [23] proposed a secured healthcare model using the \"certificate-based DTLS\" protocol. In [24], the authors presented a review of applications of IoT in healthcare. An efficient health monitoring system for controlling health parameters like \"blood pressure (BP),\" \"hemoglobin (HB),\" \"blood sugar,\" and \"abnormal cellular growth\" for the underprivileged is presented in [25]. The survey in [26] discusses the RFID technology and its applications for gathering information about the \"living environment\" of the users. The paper also discusses the various possible new research trends and the challenges for the same. A cloud computing platform for managing the sensors and wearable is presented in [27], which depict the application of the IoT paradigm for providing pervasive healthcare. The authors in [28] proposed a \"single sign-on\"-based authentication scheme for securing medical IoT data. The authors in [29] propose an interoperable \"Smart Hospital System (SHS)\" based on technologies like \"RFID,\" \"WSN,\" and \"smart mobile\" using the \"Constrained Application Protocol (CoAP)/IPv6\" over the \"low-power wireless personal area network (6 LoWPAN)\" and \"representational state transfer (REST) network infrastructure.\" The presented SHS aimed to collect the \"environmental conditions\" and patient's \"physiological parameters\" using a \"hybrid-sensing network.\" A control center collects the data, which is made available to the local and remote users by an advanced monitoring application (MA) via a REST webservice. An \"ontology-based automating design methodology (ADM)\" for \"smart rehabilitation systems\" using IoT was presented in [30]. The paper also empirically evaluates the proposal on parameters like \"feasibility,\" \"rapidity,\" and \"effectiveness.\" The authors in [31] highlighted the role and applications of IoT in healthcare. The research in [32] proposed a \"semantic data model\" for data storage and interpretation. Furthermore, a new method for efficient data access \"UDA-IoT\" was proposed. Finally, the authors presented an \"IoT-based system\" for \"emergency medical services.\" The authors in [33] presented a new conceptual framework for a \"Home Health Hub Internet of Things (H3 IoT)\" for monitoring the physiological parameters of elderly people. The authors in [34] presented an overview of various \"IoT-based technologies\" and further discussed the technical and managerial challenges in its implementation. It also focuses on the three categories of IoT used to enhance customer value for enterprise applications. The authors in [35] investigated the challenges in collection of private data and presented a practical framework named \"privacy protector\" using the \"Slepian-Wolf-coding- based secret sharing (SW-SSS),\" to help attain secured sharing of the patient's personal data. They used a distributed database comprising multiple cloud servers to ensure data privacy and protection. The authors in [36] proposed a \"privacy-preserved smart IoT-based healthcare system\" for effectively storing big data and \"self-adaptive access control.\" The proposed model also provides support for \"deduplication to optimize space\" in a big data storage system. The researchers in [37] analyzed the major concerns in the IoT technology related to the \"smart sensors for healthcare applications\" including the \"wearable and body sensors\" and \"advanced pervasive healthcare systems.\" The researchers talked about the integration of IoT features into the medical devices and healthcare as a whole, thus improving the quality of service and performance parameters like efficiency, privacy, cost, etc.