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PTF: Passive Temporal Fingerprinting

Abstract : We describe in this paper a tool named PTF (Passive and Temporal Fingerprinting) for fingerprinting network devices. The objective of device fingerprinting is to uniquely identify device types by looking at captured traffic from devices imple- menting that protocol. The main novelty of our approach consists in leveraging both temporal and behavioral features for this purpose. The key contribution is a fingerprinting scheme, where individual fingerprints are represented by tree-based temporal finite state machines. We have developed a fingerprinting scheme that leverages supervised learning approaches based on support vector machines for this purpose.
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Contributor : Olivier Festor Connect in order to contact the contributor
Submitted on : Sunday, November 27, 2011 - 8:22:35 PM
Last modification on : Wednesday, February 2, 2022 - 3:51:44 PM
Long-term archiving on: : Friday, November 16, 2012 - 12:12:09 PM


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  • HAL Id : hal-00645299, version 1



Jérôme François, Humberto Abdelnur, Radu State, Olivier Festor. PTF: Passive Temporal Fingerprinting. 12th IFIP/IEEE International Symposium on Integrated Network Management - IM'2011, May 2011, Dublin, Ireland. 8 p. ⟨hal-00645299⟩



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