# Security Framework for IoT Based Real-Time Health Applications
## 2 Background and Related Work
In that case, various security challenges need to be considered, such as creating a secure channel between an internet host and a sensor node. To create such a network, key management mechanisms must be provided that allow two remote devices to negotiate specific security credentials (e.g., secret keys) to protect the information flow [38]. Complete semantic interoperability can be provided to the different IoT platforms and vendors through the VICINITY framework. It aims to resolve privacy and security problems and offers a robust solution to IoT issues. A decentralized architecture that consists of nodes is used to secure peer-to-peer communication by using the legal principles [39]. Trust is the primary factor of intelligent agent technology because trust enhances the reputation of the smart objects in the community. To reduce the security problems and take full advantage of wearables, a study offers a secure model and architectural mechanism of different IoT e-health areas that help to send and receive e-health patients' data. They present brief research showing how many patients' data can be dealt with the IoT e-health applications [40]. A certificate-based Datagram Transport Layer Security (DTLS) uses a handshake protocol to provide security between the end-users and the IoT-based e-health gateways due to the limited resources of constrained devices to implement the cryptographic technique [41]. RSA keys, DTLS and clasp authentication techniques are used for verification and deployment of this mechanism [42]. They provide an algorithm based on public-key cryptography using TSA features and modules so that security can depend on these features. It has been learned after replacing DTLS with this proposed protocol, that the slight difference seen at the platform of the hardware is entirely compatible with IoT. This protocol provides the integrity of the SMS end-to-end throughput minimum power consumption privacy and authentication. Ultimately it is concluded that IoT is the appropriate option for the use of DTLS [43]. The abovementioned works have done a lot for the security of real-time health monitoring systems regarding data confidentiality, authenticity, and integrity. Different research studies are being conducted on the safety of real-time data. Growing technology is attracting hackers, and cyber threats are increasing day by day [44]. The IoT-based monitoring systems services are different from the services we access over the public network [45]. No standard of security is developed to secure real-time health monitoring data properly and lacks protection. However, different frameworks and security algorithms have been designed to cope with security challenges. Our work aims to develop a security framework with the help of application layer security protocols (CoAP and HTTPS) to secure real-time data of the patients being transferred from a constrained environment to the web, according to the need of time. The system will shield the data in a layered manner from the sensor layer to the application layer. CoAP and HTTPS will provide end-to-end security to the patients' essential data generated in the real-time scenario.