This paper provides evidence of a distinguished feature of file systems, that we call File System Genome. Such a feature is originated by the locations where the file blocks are placed on the mass-storage device by the operating system during the installation procedure. It appears from our study that the File System Genome is a distinctive feature of each operating system installation. In particular, our extensive set of experiments shows that the installation of the same operating system on two identical hardware configurations generates two different File System Genomes. Further, the application of sound information theory tools, such as min entropy, show that the differences between two File System Genome are considerably relevant. The results provided in this paper constitute the scientific basis for a number of applications in various fields of information technology, such as devices' identification and security.
Uniqueness of the file systems genome: Supporting arguments and massive experimental measurements / Roberto Di, Pietro; Mancini, Luigi Vincenzo; Villani, Antonio; Vitali, Domenico. - STAMPA. - (2013), pp. 1-8. (Intervento presentato al convegno 8th IEEE International Conference on Risks and Security of Internet and Systems tenutosi a La Rochelle, France nel October 23-25, 2013) [10.1109/crisis.2013.6766355].
Uniqueness of the file systems genome: Supporting arguments and massive experimental measurements
MANCINI, Luigi Vincenzo;VILLANI, Antonio;VITALI, Domenico
2013
Abstract
This paper provides evidence of a distinguished feature of file systems, that we call File System Genome. Such a feature is originated by the locations where the file blocks are placed on the mass-storage device by the operating system during the installation procedure. It appears from our study that the File System Genome is a distinctive feature of each operating system installation. In particular, our extensive set of experiments shows that the installation of the same operating system on two identical hardware configurations generates two different File System Genomes. Further, the application of sound information theory tools, such as min entropy, show that the differences between two File System Genome are considerably relevant. The results provided in this paper constitute the scientific basis for a number of applications in various fields of information technology, such as devices' identification and security.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
