Emmanuel Bertin

New security protocols for offline point-of-sale machines

By Nour El Madhoun, Emmanuel Bertin, Mohamad Badra, Guy Pujolle

2022-03-01

In The 36th international conference on advanced information networking and applications (AINA-2022)

Abstract

EMV (Europay MasterCard Visa) is the protocol implemented to secure the communication, between a client’s payment device and a Point-of-Sale machine, during a contact or an NFC (Near Field Communication) purchase transaction. In several studies, researchers have analyzed the operation of this protocol in order to verify its safety: unfortunately, they have identified two security vulnerabilities that lead to multiple attacks and dangerous risks threatening both clients and merchants. In this paper, we are interested in proposing new security solutions that aim to overcome the two dangerous EMV vulnerabilities. Our solutions address the case of Point-of-Sale machines that do not have access to the banking network and are therefore in the “offline” connectivity mode. We verify the accuracy of our proposals by using the Scyther security verification tool.

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Web services at TERAPIX

By Olivier Ricou, Anthony Baillard, Emmanuel Bertin, Frederic Magnard, Chiara Marmo, Yannick Mellier

2007-09-23

In Proceedings of the XVII conference on astronomical data analysis software & systems (ADASS)

Abstract

We present an implementation of V.O.-compliant web services built around software tools developed at the TERAPIX centre. These services allow to operate from a remote site several pipeline tasks dedicated to astronomical data processing on the TERAPIX cluster, including the latest EFIGI morphological analysis tool.

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Algorithme de calcul de l’arbre des composantes avec applications à la reconnaissance des formes en imagerie satellitaire

By Anthony Baillard, Christophe Berger, Emmanuel Bertin, Thierry Géraud, Roland Levillain, Nicolas Widynski

2007-05-11

In Proceedings of the 21st symposium on signal and image processing (GRETSI)

Abstract

In this paper a new algorithm to compute the component tree is presented. As compared to the state-of-the-art, this algorithm does not use excessive memory and is able to work efficiently on images whose values are highly quantized or even with images having floating values. We also describe how it can be applied to astronomical data to identify relevant objects.

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Effective component tree computation with application to pattern recognition in astronomical imaging

By Christophe Berger, Thierry Géraud, Roland Levillain, Nicolas Widynski, Anthony Baillard, Emmanuel Bertin

2007-05-03

In Proceedings of the IEEE international conference on image processing (ICIP)

Abstract

In this paper a new algorithm to compute the component tree is presented. As compared to the state of the art, this algorithm does not use excessive memory and is able to work efficiently on images whose values are highly quantized or even with images having floating values. We also describe how it can be applied to astronomical data to identify relevant objects.

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Project EFIGI: Automatic classification of galaxies

Abstract

We propose an automatic system to classify images of galaxies with varying resolution. Morphologically typing galaxies is a difficult task in particular for distant galaxies convolved by a point-spread function and suffering from a poor signal-to-noise ratio. In the context of the first phase of the project EFIGI (extraction of the idealized shapes of galaxies in imagery), we present the three steps of our software: cleaning, dimensionality reduction and supervised learning. We present preliminary results derived from a subset of 774 galaxies from the Principal Galaxies Catalog and compare them to human classifications made by astronomers. We use g-band images from the Sloan Digital Sky Survey. Finally, we discuss future improvements which we intend to implement before releasing our tool to the community.

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