| Title | Cryptographic Data Security for IoT Healthcare in 5G and Beyond Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Ahmed, Sabrina, Subah, Zareen, Ali, Mohammed Zamshed |
| Conference Name | 2022 IEEE Sensors |
| Keywords | 5G, 5G mobile communication, composability, Costs, cryptography, cybersecurity, decryption, edge computing, Encryption, end-to-end, healthcare, Human Behavior, Internet of Things, IoT, IoT security, Medical services, Metrics, networks, privacy, Prototypes, pubcrawl, resilience, Resiliency, security |
| Abstract | While 5G Edge Computing along with IoT technology has transformed the future of healthcare data transmission, it presents security vulnerabilities and risks when transmitting patients' confidential information. Currently, there are very few reliable security solutions available for healthcare data that routes through SDN routers in 5G Edge Computing. These solutions do not provide cryptographic security from IoT sensor devices. In this paper, we studied how 5G edge computing integrated with IoT network helps healthcare data transmission for remote medical treatment, explored security risks associated with unsecured data transmission, and finally proposed a cryptographic end-to-end security solution initiated at IoT sensor devices and routed through SDN routers. Our proposed solution with cryptographic security initiated at IoT sensor goes through SDN control plane and data plane in 5G edge computing and provides an end-to-end secured communication from IoT device to doctor's office. A prototype built with two-layer encrypted communication has been lab tested with promising results. This analysis will help future security implementation for eHealth in 5G and beyond networks. |
| DOI | 10.1109/SENSORS52175.2022.9967208 |
| Citation Key | ahmed_cryptographic_2022 |
Cryptographic Data Security for IoT Healthcare in 5G and Beyond Networks