Poster Abstract: 5GHealthNet — A Cloud Based Framework for Faster and Authorized Access to Private Medical Records through 5G Wireless Network

摘要

The fifth generation wireless network (5G) has enabled certain unique features to ensure faster data communication. Particularly, cloud based framework is becoming insanely popular due to wide storage space and access through 5G wireless network, has made things easier and faster to access the cloud data [1]. 5GHealthNet is a cloud based framework, specifically storing the medical records and uses a double key encryption algorithm to secure cloud data. The main purpose of 5GHealthNet is to protect the private records and also enhance the authorized access to the cloud through wireless network. The 5G wireless network ensures remote access of the data via predefined network data centers. The framework ensures multi user access and uses data stream transfer to handle bulk records in case the user limit reaches beyond threshold. Energy consumption is a major issue in higher generation networks due to large number of functional nodes. Access through 5G wireless network must ensure certain prerequisites in order to achieve seamless data transfer [2]. Let i and j be the node set where the data transfer has to initiate. The above approach is solved using an integral linear problem. 5GHealthNet framework functionalities are as follows: 1. Faster and remote data access through 5G networks 2. Double encryption ensures secure data access 3. Multi user access 4. User friendly interface and easy usage Fig.1 shows the architecture of 5GHealthNet. A load balancer initiates the data stream transfer, SEMS (security and edge management system) is implemented using double encryption algorithm to ensure secure data access. DTB (data transport broker), DIP (data integration and processing) and PC (persistence and concurrency) modules ensure data flow within the cloud [3]. A backup copy of the data to be accessed is created every time the access request is raised. The control flow of the entire operation is monitored in API Library and API management which have the functionalities to ensure the access of private data. User connectivity is the important aspect of the proposed concept. Since the data access is through wireless networks, energy efficient methodology has to be thought of in order to efficiently use the functionalities of 5G wireless networks. The application has to support the inbuilt 5G connectivity with which secure cloud access can be done with fewer ambiguities. Since, 5G networks are in the stage of deployment, an alternate 4G connectivity has to be maintained for unambiguous data access. The prototype for double encryption algorithm is made by assuming that the key value is dynamic irrespective of the user count. The new key value is generated, every time the user logs in. A new decrypting key is generated when the generated new key value is successfully encrypted. Fig.2 shows the initial experimental setup. We have basically used a wireless mesh transmitter that connects the mobile device through antennas. For time being, we have implemented an algorithm in MATLAB to fetch 5 records from 5GHhealthNet connected to a mobile device via the wireless transmitter. We have also simulated graphical plots to calculate the probability of mean residual energy and data distortion. Fig.3 shows a device connected to various wireless nodes. The mobile device has an application that has access to 5GNetHealth. The ultimate goal of the proposed scheme is to implement the 5GNetHealth application in smartphones and via the internet connection, the cloud data is accessed with certain inbuilt security features incorporated within the application. Fig.4 calculates the mean residual energy for number of rounds of data transmission. Fig.5 calculates the probability of data distortion during cloud data transfer with the increase in cluster radius and distance d. In our experiment, we have explicitly used 3 wireless nodes connected to a system having access to cloud data. Smartphones using 5GHealthNet does not require wireless connection, as they have inbuilt internet connectivity to access the cloud data. 5GHealthNet is a framework or an interface that connects to the user end as well as to the data end to promote mutual communication and enhance ease of access. Consider a scenario, where the consulting physician has to look after the patient records: a separate login credentials are provided to access private data unless user/patient has explicitly granted permission to access his private-data. The main issue in 5GHealthNet lies in the connectivity of user end and data end and is solely dependent on the wireless connection provided through 5G networks. For large scale systems, more 5G wireless functional nodes are required to enhance the access speed.