Meneghello, Francesca and Rossi, Michele and Bui, Nicola (2019) Smartphone identification database. [Data Collection]
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- Smartphone identification database. (deposited 25 Feb 2020 09:16) [Currently Displayed]
Collection description
This folder is composed of six .mat files containing the data used in the article ''Smartphone Identification via Passive Traffic Fingerprinting: a Sequence-to-Sequence Learning Approach'' by Francesca Meneghello, Michele Rossi and Nicola Bui. The Python source code is available at https://github.com/signetlabdei/smartphone_identification. If you use this dataset, please cite our paper: @article{Meneghello2020Network, author={Francesca Meneghello and Michele Rossi and Nicola Bui}, title={Smartphone Identification via Passive Traffic Fingerprinting: a Sequence-to-Sequence Learning Approach}, journal={IEEE Network Magazine}, volume={}, number={}, pages={}, year={2020} }
| DOI: |  10.25430/researchdata.cab.unipd.it.00000292 |
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| Keywords: | LTE control channel measurements, smartphone identification | ||||||||||||
| Subjects: | Physical:Sciences and Engineering > Systems and Communication Engineering: Electrical, electronic, communication, optical and systems engineering > Networks (communication networks, sensor networks, networks of robots, etc.) | ||||||||||||
| Department: | Departments > Dipartimento di Ingegneria dell'Informazione (DEI) | ||||||||||||
| Depositing User: | Francesca Meneghello | ||||||||||||
| Date Deposited: | 25 Feb 2020 09:16 | ||||||||||||
| Last Modified: | 25 Feb 2020 09:16 | ||||||||||||
| Creators/Authors: |
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| Type of data: | Database | ||||||||||||
| Research funder: | MIUR | ||||||||||||
| Research project title: | Deparment of Excellence | ||||||||||||
| Grant number: | Law 232/20106 | ||||||||||||
| Collection period: |
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| Resource language: | English | ||||||||||||
| Metadata language: | English | ||||||||||||
| Publisher: | Research Data Unipd | ||||||||||||
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| Date: | 11 November 2019 | ||||||||||||
| Copyright holders: | The Authors | ||||||||||||
| URI: | https://researchdata.cab.unipd.it/id/eprint/292 |
orcid.org/0000-0002-9905-0360
