Access control method using electrocardiogram signal for fog computing security

Abstract

Personal identification methods using conventional fog computing services are not secure and efficient enough. This paper suggests a method for controlling fog server access rights by using ECG signals. When a user asks personal identification to control the fog server, wearable devices are used to measure ECG signals, and personal identification is confirmed through matching by using a computing device. The public ECG data is used for the experiment by means of the suggested network in order to examine the potential method for controlling the suggested fog server access rights. The experiment results revealing recognition performance of 99.81% of 52 participants in the experiment supports the fact that the method for controlling fog server access rights by using ECG signals in this paper is demonstrated as an effective method.