SDN-Based Privacy and Functional Authentication Scheme for Fog Nodes of Smart Healthcare
Changbo Ke, Zejiang Zhu, Fu Xiao, Zhiqiu Huang, Yunfei Meng
Abstract
As a novel computing paradigm, fog computing can provide more efficient and high-quality medical services for patients by deploying the smart healthcare system. Smart healthcare needs to store and share patient’s physiological data in fog nodes for online diagnoses. However, if fog nodes of smart healthcare lack effective security mechanisms, user’s privacy data might be stolen by malicious users. Moreover, fog computing needs to confront some brand-new challenges, such as resource-constrained Internet of Things (IoT) and insider attacks. To overcome these challenges, we propose an software-defined networking (SDN)-based security authentication scheme for fog nodes of smart healthcare. In our scheme, an authentication algorithm is deployed in SDN gateway to validate the creditability of fog node, and IoT only need send the privacy and functional attributes to the SDN gateway to decrease the computing of the IoT. To validate the effectiveness and feasibility of our scheme, we implement an experimental system with POX controller and Mininet emulator. The experimental results show that, compared with other similar work, our scheme is more effective, and the computing overhead ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${2}{n}{T}_{m}$ </tex-math></inline-formula> ) and storage overhead [ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$({n}{+}{2}){\cdot }{1024}{+}{256}$ </tex-math></inline-formula> ] is lower.