Research On Lightweight Fingerprint Construction And Authentication Method Of Industrial Internet Of Things Based On UWB

With the continuous development of wireless communication technology and the reduction of the cost of embedded devices,the application of wireless communication technologies,such as Wi Fi,Bluetooth,and Ultra-Wideband(UWB)in the Industrial Internet of Things(Io T)has become a research focus in recent years.In the Industrial Internet of Things,most network node devices use small-sized embedded devices.These embedded devices cooperate in the network according to their specific needs.However,due to the open access of wireless industrial Internet of Things technology,node computing resources are limited.And other characteristics,the security issues of the industrial Internet of Things are facing severe challenges.On the one hand,due to the limited computing power of industrial Io T devices,it has increased the difficulty of applying traditional security authentication and encryption technology to the industrial Io T;on the other hand,electromagnetic fingerprint identity authentication requires expensive professional equipment,such as spectrum analyzers and Channel Sounder,etc.They have higher certification costs and are difficult to apply in a wide range in industrial scenarios.And the identity authentication of Io T devices based on blockchain cannot be applied to terminals with weak computing and storage capacity.Therefore,it is of great significance to explore a method of industrial Io T device authentication that occupies less computing resources,is low in cost,and is effective for ensuring the security of the industrial Io T.Aiming at the shortcomings of the above-mentioned wireless industrial Internet of Things identity authentication method,this paper proposes a lightweight fingerprint construction and authentication method of industrial Internet of things based on UWB.First of all,according to the problem that the sensor nodes in the network faced by the industrial Internet of Things are easy to be counterfeited,a lightweight fingerprint construction and device identity authentication method for the industrial Internet of Things based on UWB is proposed for static sensor nodes.The system model of the proposed authentication scheme is described,and the function and workflow of each module are explained.The proposed model consists of a host for monitoring industrial processes,sensors node for collecting data,an anchor for retrieving wireless signal fingerprints,and a lightweight module for device authentication.Secondly,it provides a method for constructing fingerprints for the proposed system model.UWB technology can be used to provide high-precision positioning features and build a trusted area for each device on the network.The trusted area is the fingerprint,which is used to authenticate the identity of the device.Then,according to the system model of the proposed scheme and the method of constructing fingerprints,an authentication method is provided for the scheme.Finally,the validity of the device authentication method is verified by simulation.The proposed architecture does not need any expensive equipment to capture the fingerprint of wireless signal,and also avoids the requirement of computing power for digital signature.The experimental results show that the radius of the constructed trusted area is less than 15 cm,which is enough to prevent the intruder from forging the identity of wireless industrial equipment.At the same time,the method can detect the physical location of the intruder.