Continuous Authentication of Automotive Vehicles Using Inertial Measurement Units
The concept of Continuous Authentication is to authenticate an entity on the basis of a digital output generated in a continuous way by the entity itself. This concept has recently been applied in the literature for the continuous authentication of persons on the basis of intrinsic features extracte...
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Published in | Sensors (Basel, Switzerland) Vol. 19; no. 23; p. 5283 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Abstract | The concept of Continuous Authentication is to authenticate an entity on the basis of a digital output generated in a continuous way by the entity itself. This concept has recently been applied in the literature for the continuous authentication of persons on the basis of intrinsic features extracted from the analysis of the digital output generated by wearable sensors worn by the subjects during their daily routine. This paper investigates the application of this concept to the continuous authentication of automotive vehicles, which is a novel concept in the literature and which could be used where conventional solutions based on cryptographic means could not be used. In this case, the Continuous Authentication concept is implemented using the digital output from Inertial Measurement Units (IMUs) mounted on the vehicle, while it is driving on a specific road path. Different analytical approaches based on the extraction of statistical features from the time domain representation or the use of frequency domain coefficients are compared and the results are presented for various conditions and road segments. The results show that it is possible to authenticate vehicles from the Inertial Measurement Unit (IMU) recordings with great accuracy for different road segments. |
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AbstractList | The concept of Continuous Authentication is to authenticate an entity on the basis of a digital output generated in a continuous way by the entity itself. This concept has recently been applied in the literature for the continuous authentication of persons on the basis of intrinsic features extracted from the analysis of the digital output generated by wearable sensors worn by the subjects during their daily routine. This paper investigates the application of this concept to the continuous authentication of automotive vehicles, which is a novel concept in the literature and which could be used where conventional solutions based on cryptographic means could not be used. In this case, the Continuous Authentication concept is implemented using the digital output from Inertial Measurement Units (IMUs) mounted on the vehicle, while it is driving on a specific road path. Different analytical approaches based on the extraction of statistical features from the time domain representation or the use of frequency domain coefficients are compared and the results are presented for various conditions and road segments. The results show that it is possible to authenticate vehicles from the Inertial Measurement Unit (IMU) recordings with great accuracy for different road segments.The concept of Continuous Authentication is to authenticate an entity on the basis of a digital output generated in a continuous way by the entity itself. This concept has recently been applied in the literature for the continuous authentication of persons on the basis of intrinsic features extracted from the analysis of the digital output generated by wearable sensors worn by the subjects during their daily routine. This paper investigates the application of this concept to the continuous authentication of automotive vehicles, which is a novel concept in the literature and which could be used where conventional solutions based on cryptographic means could not be used. In this case, the Continuous Authentication concept is implemented using the digital output from Inertial Measurement Units (IMUs) mounted on the vehicle, while it is driving on a specific road path. Different analytical approaches based on the extraction of statistical features from the time domain representation or the use of frequency domain coefficients are compared and the results are presented for various conditions and road segments. The results show that it is possible to authenticate vehicles from the Inertial Measurement Unit (IMU) recordings with great accuracy for different road segments. The concept of Continuous Authentication is to authenticate an entity on the basis of a digital output generated in a continuous way by the entity itself. This concept has recently been applied in the literature for the continuous authentication of persons on the basis of intrinsic features extracted from the analysis of the digital output generated by wearable sensors worn by the subjects during their daily routine. This paper investigates the application of this concept to the continuous authentication of automotive vehicles, which is a novel concept in the literature and which could be used where conventional solutions based on cryptographic means could not be used. In this case, the Continuous Authentication concept is implemented using the digital output from Inertial Measurement Units (IMUs) mounted on the vehicle, while it is driving on a specific road path. Different analytical approaches based on the extraction of statistical features from the time domain representation or the use of frequency domain coefficients are compared and the results are presented for various conditions and road segments. The results show that it is possible to authenticate vehicles from the Inertial Measurement Unit (IMU) recordings with great accuracy for different road segments. |
Author | Geib, Filip Baldini, Gianmarco Giuliani, Raimondo |
AuthorAffiliation | 2 Faculty of Electrical Engineering, Czech Technical University in Prague, 160 00 Praha, Czech Republic 1 European Commission, Joint Research Centre, 21027 Ispra, Italy; filip9geib@gmail.com (F.G.); raimondo.giuliani@ec.europa.eu (R.G.) |
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Cites_doi | 10.1109/WoWMoM.2016.7523576 10.3390/s19112466 10.1109/BTAS.2012.6374552 10.1007/s11517-014-1216-0 10.1007/s11276-015-1005-1 10.1109/ICCVE.2013.6799876 10.1109/TVT.2016.2621354 10.1109/COMST.2017.2694487 10.1016/j.ijcip.2018.02.001 10.1109/TIFS.2012.2225048 10.1007/978-3-319-24577-5_22 10.1007/978-0-387-30164-8_192 10.1109/MSP.2016.2555335 10.3390/s18041036 10.1109/TITS.2017.2680468 10.1023/A:1025667309714 10.1109/ACCESS.2018.2841347 10.1109/ICVES.2012.6294318 10.1016/0924-4247(90)85060-H 10.3390/s17102404 10.1145/2536853.2536895 10.1109/ICCAIS.2012.6466615 10.3390/s16101746 10.1109/ChiCC.2016.7554842 10.1109/TSG.2011.2168243 10.1109/CCDC.2016.7531490 10.1103/PhysRevLett.88.174102 |
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SubjectTerms | Accelerometers Accuracy Biometrics Personal identification numbers Public Key Infrastructure Sensors Smartphones Variables Vehicles |
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