2021/02/25 by George Sidiropoulos, G. K. Sidiropoulos, Sidiropoulos, G. K. +3
Computer Science · #Artificial Intelligence (cs.AI) #Biometric Identification and Security #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #I.5.4 #Machine Learning (cs.LG) #Music and Audio Processing #User Authentication and Security Systems #cs.AI #cs.CR #cs.CV #cs.LG
paper · pdf · doi:10.48550/arxiv.2102.13190
5 pages, 4 figures
arxiv created 2021/02/25 · openalex publication_date 2021/02/25 · arxiv updated 2021/03/01 · openalex created_date 2021/03/15 · openalex updated_date 2026/07/28
This paper deals with the identification of machines in a smart city environment. The concept of machine biometrics is proposed in this work for the first time, as a way to authenticate machine identities interacting with humans in everyday life. This definition is imposed in modern years where autonomous vehicles, social robots, etc. are considered active members of contemporary societies. In this context, the case of car identification from the engine behavioral biometrics is examined. For this purpose, 22 sound features were extracted and their discrimination capabilities were tested in combination with 9 different machine learning classifiers, towards identifying 5 car manufacturers. The experimental results revealed the ability of the proposed biometrics to identify cars with high accuracy up to 98% for the case of the Multilayer Perceptron (MLP) neural network model.