Výsledky vyhledávání - "Pierluigi Failla"

Privacy-Aware Processing of Biometric Templates by Means of Secure Two-Party Computation

Autor: Mauro Barni, Pierluigi Failla, Riccardo Lazzeretti

Publikováno v: Security and Privacy in Biometrics ISBN: 9781447152293
Security and Privacy in Biometrics

The use of biometric data for person identification and access control is gaining more and more popularity. Handling biometric data, however, requires particular care, since biometric data is indissolubly tied to the identity of the owner hence raisi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::528d3f425f87b79393d9273d9e360917
https://doi.org/10.1007/978-1-4471-5230-9_7

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Cumulants-based radar specific emitter identification

Autor: Vincenzo Carotenuto, Pierluigi Failla, A. Bazzoni, Augusto Aubry, A. De Maio

Publikováno v: WIFS

In this paper we consider the problem of Radar Specific Emitter Identification (SEI) with the aim of distinguishing among several transmitting sources of the same kind which is a very hot topic in the device forensic field. At the design stage, we in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b1829da94ae94f08b22975752798819
http://hdl.handle.net/11588/651834

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Gram-Schmidt Orthogonalization on Encrypted Vectors

Autor: Pierluigi Failla, Mauro Barni

Publikováno v: Trustworthy Internet ISBN: 9788847018174

In this paper we address a privacy preserving version of the well known Gram-Schmidt orthogonalization procedure. Specifically, we propose a building block for secure multiparty computation, that is able to orthogonalize a set of componentwise encryp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4b8e298b2c4940833809db6bbbd8a44b
https://doi.org/10.1007/978-88-470-1818-1_7

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eSketch

Autor: Mauro Barni, Pierluigi Failla, Yagiz Sutcu

Publikováno v: MM&Sec

The fuzzy commitment approach has gained popularity as away to protect biometric data used for identity verification of authentication. As it has been show recently, though, the use of fuzzy commitment is unavoidably linked to some leakage of informa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::521f6eec2a33857e8061f0cbc91973f4
https://doi.org/10.1145/1854229.1854271

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Heuristic Search in Encrypted Graphs

Autor: Pierluigi Failla

Publikováno v: SECURWARE

In this paper, we consider a scenario in which two parties are interested to find, in secure multiparty computation, the shortest path in a public graph. In particular, we consider the case in which, Alice knows the weights on the edges of the graph,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0b5b0845df828d94857d262efefacedc
https://doi.org/10.1109/securware.2010.21

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Privacy-Preserving Fingercode Authentication

Autor: Pierluigi Failla, Alessandro Piva, Ruggero Donida Labati, Fabio Scotti, Riccardo Lazzeretti, Mario Di Raimondo, Vincenzo Piuri, Dario Fiore, Dario Catalano, Tiziano Bianchi, Mauro Barni

Publikováno v: MM&Sec

We present a privacy preserving protocol for fingerprint-based authentication. We consider a scenario where a client equipped with a fingerprint reader is interested into learning if the acquired fingerprint belongs to the database of authorized enti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12aa16944ea48a3a6b97015ff1f54143
http://hdl.handle.net/20.500.11769/81229

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A Privacy-compliant Fingerprint Recognition System Based on Homomorphic Encryption and Fingercode Templates

Autor: Fabio Scotti, Riccardo Lazzeretti, Tiziano Bianchi, Vincenzo Piuri, Dario Catalano, Dario Fiore, Alessandro Piva, Mauro Barni, Pierluigi Failla, Ruggero Donida Labati, Mario Di Raimondo

Publikováno v: BTAS

The privacy protection of the biometric data is an important research topic, especially in the case of distributed biometric systems. In this scenario, it is very important to guarantee that biometric data cannot be steeled by anyone, and that the bi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::404cd7d2135d9c64fa29c40341ed66cf
http://hdl.handle.net/11365/36797

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Secure Evaluation of Private Linear Branching Programs with Medical Applications

Autor: Pierluigi Failla, Ahmad-Reza Sadeghi, Mauro Barni, Thomas Schneider, Riccardo Lazzeretti, Vladimir Kolesnikov

Publikováno v: Computer Security – ESORICS 2009 ISBN: 9783642044434
ESORICS

Diagnostic and classification algorithms play an important role in data analysis, with applications in areas such as health care, fault diagnostics, or benchmarking. Branching programs (BP) is a popular representation model for describing the underly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a76f7d468da9f950dff18431fa9f569
http://hdl.handle.net/11573/967142

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Efficient Privacy-Preserving Classification of ECG Signals

Autor: Thomas Schneider, Pierluigi Failla, Annika Paus, Vladimir Kolesnikov, Ahmad-Reza Sadeghi, Mauro Barni, Riccardo Lazzeretti

Publikováno v: WIFS

We describe a privacy-preserving system where a server can classify an ElectroCardioGram (ECG) signal without learning any information about the ECG signal and the client is prevented from gaining knowledge about the classification algorithm used by

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08cc5695f209e74b4c69a50f9b537267
http://hdl.handle.net/11573/967138

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